diff --git a/.gitignore b/.gitignore
index b1ce1c6..d9f7fe4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -36,12 +36,3 @@ HOW_IT_WORKS.html
 *.swp
 .idea/
 .vscode/
-
-# Data directories and temp files
-input/
-processed/
-NewsPapers/
-_tess_tmp/
-scratch_py/
-*.log
-_*.txt
diff --git a/_aj_base.log b/_aj_base.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_base.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_aj_val.log b/_aj_val.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_val.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_aj_val2.log b/_aj_val2.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_val2.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_aj_val3.log b/_aj_val3.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_val3.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_aj_val4.log b/_aj_val4.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_val4.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_aj_val5.log b/_aj_val5.log
new file mode 100644
index 0000000..fbc898a
--- /dev/null
+++ b/_aj_val5.log
@@ -0,0 +1,5 @@
+page 1: 12 crops, 9 datelines | Headline-strip:2, Floor-trim:2, orphan overlap:2
+page 2: 18 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2
+page 3: 14 crops, 7 datelines | bullet titles flagged:1
+page 4: 21 crops, 18 datelines | bullet titles flagged:1, Headline-strip:2, Block dateline split:2, Multi-column body:2
+DONE -> output/AndhraJyothi_Siddipet District_20260602_20260603_144919/all_article_crops_final
diff --git a/_cls.txt b/_cls.txt
new file mode 100644
index 0000000..527b674
--- /dev/null
+++ b/_cls.txt
@@ -0,0 +1,4 @@
+R16 text bbox=[119, 616, 612, 1899] phones=3 kw=[] :: జనగామ, మే 19 (నమస్తే తెలంగాణ) : ఆల్‌ ఇండియా కెమిస్
+R89 paragraph_title bbox=[121, 2887, 595, 2978] phones=0 kw=['in the court'] :: IN THE COURT OF THE HONBLE JUNIOR CIVIL JUDGE AT G
+R93 text bbox=[174, 4010, 545, 4080] phones=1 kw=['advocate'] :: ADVOCATE - JANGAON Cell: 9848259371
+R87 text bbox=[150, 5143, 604, 6267] phones=8 kw=['classified', 'contact'] :: For Classified Ads Please Contact... 9182777552 HA
diff --git a/_jg_base.log b/_jg_base.log
new file mode 100644
index 0000000..0865293
--- /dev/null
+++ b/_jg_base.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1483,838,4073,3081] 2590x2243 mem=13 {'text': 8, 'image': 3, 'figure_title': 2} 
+  R  4 DL     bbox=[105,846,1467,4295] 1362x3449 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,3089,3031,4921] 1533x1832 mem=13 {'text': 8, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R  2 DL     bbox=[3039,3957,4081,6269] 1042x2312 mem=4 {'text': 2, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,3211,6283] 1711x1271 mem=5 {'doc_title': 1, 'text': 2, 'figure_title': 1, 'image': 1} 
+  [Containment-merge] x4
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val.log b/_jg_val.log
new file mode 100644
index 0000000..7b02133
--- /dev/null
+++ b/_jg_val.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val2.log b/_jg_val2.log
new file mode 100644
index 0000000..7b02133
--- /dev/null
+++ b/_jg_val2.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val3.log b/_jg_val3.log
new file mode 100644
index 0000000..eb07770
--- /dev/null
+++ b/_jg_val3.log
@@ -0,0 +1,38 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 78 F     bbox=[123,4139,626,4285] 503x146 mem=1 {'image': 1} IMG-ONLY(no text) SINGLE-region
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 82 F     bbox=[137,4423,618,4782] 481x359 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R 44 F     bbox=[133,4811,616,5113] 483x302 mem=1 {'text': 1} SINGLE-region
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val4.log b/_jg_val4.log
new file mode 100644
index 0000000..7b02133
--- /dev/null
+++ b/_jg_val4.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val5.log b/_jg_val5.log
new file mode 100644
index 0000000..7b02133
--- /dev/null
+++ b/_jg_val5.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val6.log b/_jg_val6.log
new file mode 100644
index 0000000..7b02133
--- /dev/null
+++ b/_jg_val6.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val7.log b/_jg_val7.log
new file mode 100644
index 0000000..4f92a23
--- /dev/null
+++ b/_jg_val7.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=8 {'text': 7, 'image': 1} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,838,3031,4921] 1533x4083 mem=18 {'doc_title': 1, 'text': 9, 'image': 3, 'paragraph_title': 2, 'figure_title': 3} 
+  R  2 DL     bbox=[3039,3957,4081,5748] 1042x1791 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4087,1833] 1394x1428 mem=12 {'doc_title': 1, 'text': 7, 'image': 2, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=2 {'doc_title': 1, 'text': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,2023,2859] 1910x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[113,5731,3267,6318] 3154x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val8.log b/_jg_val8.log
new file mode 100644
index 0000000..6baa4dc
--- /dev/null
+++ b/_jg_val8.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=13 {'text': 8, 'image': 3, 'figure_title': 2} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,3089,3031,4921] 1533x1832 mem=13 {'doc_title': 1, 'text': 8, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R  2 DL     bbox=[3092,3957,4079,4960] 987x1003 mem=1 {'text': 1} SINGLE-region
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=8 {'text': 3, 'image': 2, 'doc_title': 1, 'figure_title': 2} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4078,1567] 1385x1162 mem=11 {'doc_title': 1, 'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=3 {'text': 1, 'image': 1, 'doc_title': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260609_130635/all_article_crops_review
diff --git a/_jg_val8b.log b/_jg_val8b.log
new file mode 100644
index 0000000..d04f320
--- /dev/null
+++ b/_jg_val8b.log
@@ -0,0 +1,36 @@
+
+=== page 1: 6 crops, 6 datelines ===
+  R  3 DL     bbox=[1497,137,4081,3023] 2584x2886 mem=13 {'text': 8, 'image': 3, 'figure_title': 2} 
+  R  4 DL     bbox=[105,145,1467,4295] 1362x4150 mem=15 {'text': 11, 'image': 2, 'paragraph_title': 2} 
+  R 28 H     bbox=[1498,3089,3031,4921] 1533x1832 mem=13 {'doc_title': 1, 'text': 8, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R  2 DL     bbox=[3092,3957,4079,4960] 987x1003 mem=1 {'text': 1} SINGLE-region
+  R 49 H RAW bbox=[106,4377,1429,6301] 1323x1924 mem=10 {'doc_title': 1, 'text': 5, 'image': 2, 'figure_title': 2} 
+  R 29 H RAW bbox=[1500,5012,4081,6283] 2581x1271 mem=8 {'text': 3, 'image': 2, 'doc_title': 1, 'figure_title': 2} 
+  [Containment-merge] x2
+  [Headline-merge] x2
+  [Banner rectangle] x4
+
+=== page 2: 18 crops, 17 datelines ===
+  R109 H     bbox=[119,393,612,1899] 493x1506 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 H     bbox=[2693,405,4078,1567] 1385x1162 mem=11 {'doc_title': 1, 'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 55 H RAW bbox=[679,415,2630,1919] 1951x1504 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R 77 H     bbox=[2692,1594,4087,1903] 1395x309 mem=3 {'text': 1, 'image': 1, 'doc_title': 1} 
+  R 14 DL     bbox=[2045,1950,3265,3097] 1220x1147 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 65 H     bbox=[113,1958,1975,2859] 1862x901 mem=8 {'text': 5, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 96 H     bbox=[3326,1964,4087,3638] 761x1674 mem=4 {'doc_title': 1, 'text': 2, 'image': 1} 
+  R 89 L     bbox=[118,2887,595,4080] 477x1193 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 86 H     bbox=[682,2894,1977,4292] 1295x1398 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 2, 'doc_title': 1} 
+  R 64 H     bbox=[2046,3116,3263,3907] 1217x791 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 97 H     bbox=[3324,3756,4087,4627] 763x871 mem=2 {'doc_title': 1, 'text': 1} 
+  R 84 H     bbox=[2046,3920,3264,4820] 1218x900 mem=6 {'text': 3, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 44 F     bbox=[123,4139,626,5113] 503x974 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R112 H     bbox=[682,4325,1975,5056] 1293x731 mem=5 {'text': 2, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 58 H     bbox=[3322,4658,4087,5831] 765x1173 mem=2 {'doc_title': 1, 'text': 1} 
+  R110 H     bbox=[2044,4858,3265,5685] 1221x827 mem=7 {'doc_title': 1, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 75 H RAW bbox=[680,5078,1975,5692] 1295x614 mem=5 {'doc_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 59 H RAW bbox=[680,5731,3267,6318] 2587x587 mem=7 {'doc_title': 2, 'text': 5} 
+  R  7 DL     bbox=[3308,5839,4087,6305] 779x466 mem=1 {'text': 1} SINGLE-region
+  [Containment-merge] x10
+  [Banner rectangle] x8
+
+DONE -> output/NamastheTelangana_Jangaon_20260520_20260608_124720/all_article_crops_review
diff --git a/_lc3.txt b/_lc3.txt
new file mode 100644
index 0000000..9544705
--- /dev/null
+++ b/_lc3.txt
@@ -0,0 +1,10 @@
+AJ pg1: 12 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+AJ pg2: 18 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+AJ pg3: 14 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+AJ pg4: 20 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+NT pg1: 11 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+NT pg2: 22 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+NT pg3: 19 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+NT pg4: 24 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+JG pg1: 7 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
+JG pg2: 12 blocks (baseline AJ 12/18/14/20 NT 11/22/19/25 JG 7/12)
diff --git a/_lencheck.txt b/_lencheck.txt
new file mode 100644
index 0000000..fe769c9
--- /dev/null
+++ b/_lencheck.txt
@@ -0,0 +1,10 @@
+AJ pg1 pitch755 hbars10 base12 | thr0.6: 12 (drop6) | thr0.8: 12 (drop7) | thr1.0: 12 (drop7)
+AJ pg2 pitch719 hbars19 base18 | thr0.6: 18 (drop5) | thr0.8: 18 (drop8) | thr1.0: 18 (drop9)
+AJ pg3 pitch728 hbars15 base14 | thr0.6: 14 (drop7) | thr0.8: 13 (drop9) | thr1.0: 13 (drop9)
+AJ pg4 pitch728 hbars25 base20 | thr0.6: 20 (drop11) | thr0.8: 20 (drop13) | thr1.0: 20 (drop13)
+NT pg1 pitch536 hbars24 base11 | thr0.6: 11 (drop5) | thr0.8: 11 (drop8) | thr1.0: 11 (drop9)
+NT pg2 pitch527 hbars47 base22 | thr0.6: 22 (drop7) | thr0.8: 22 (drop10) | thr1.0: 22 (drop15)
+NT pg3 pitch525 hbars25 base19 | thr0.6: 19 (drop3) | thr0.8: 19 (drop4) | thr1.0: 19 (drop7)
+NT pg4 pitch523 hbars43 base25 | thr0.6: 25 (drop5) | thr0.8: 25 (drop8) | thr1.0: 21 (drop25)
+JG pg1 pitch601 hbars15 base7 | thr0.6: 7 (drop5) | thr0.8: 7 (drop6) | thr1.0: 7 (drop9)
+JG pg2 pitch594 hbars17 base12 | thr0.6: 12 (drop0) | thr0.8: 12 (drop0) | thr1.0: 12 (drop9)
diff --git a/_lencheck2.txt b/_lencheck2.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_nt4.txt b/_nt4.txt
new file mode 100644
index 0000000..e336e83
--- /dev/null
+++ b/_nt4.txt
@@ -0,0 +1,4 @@
+WITH ≥1col floor: 24 blocks
+  R67 H 4DL members=[5, 7, 28, 34, 42, 48, 50, 67, 68, 73, 74, 80, 100, 102, 107, 127, 135]
+  R121 H 2DL members=[12, 14, 21, 39, 59, 111, 116, 121]
+anchors: R23,R67,R81,R85,R87,R89,R90,R91,R93,R94,R95,R96,R97,R98,R101,R103,R108,R118,R119,R121,R122,R128,R131,R132
diff --git a/_nt_base.log b/_nt_base.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_base.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val.log b/_nt_val.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val2.log b/_nt_val2.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val2.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val3.log b/_nt_val3.log
new file mode 100644
index 0000000..e20286d
--- /dev/null
+++ b/_nt_val3.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110, 105] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val4.log b/_nt_val4.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val4.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val5.log b/_nt_val5.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val5.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val6.log b/_nt_val6.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val6.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val7.log b/_nt_val7.log
new file mode 100644
index 0000000..bfffd7c
--- /dev/null
+++ b/_nt_val7.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 28 crops, 25 datelines, 2+dl-blocks=[80] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nt_val8.log b/_nt_val8.log
new file mode 100644
index 0000000..b5cf83d
--- /dev/null
+++ b/_nt_val8.log
@@ -0,0 +1,5 @@
+page 1: 11 crops, 11 datelines, 2+dl-blocks=none | Caption bound:4, Headline-strip:8, Multi-column body:4
+page 2: 23 crops, 22 datelines, 2+dl-blocks=[110] | 
+page 3: 20 crops, 21 datelines, 2+dl-blocks=[54, 62] | 
+page 4: 25 crops, 25 datelines, 2+dl-blocks=[67, 121] | 
+DONE -> output/NamastheTelangana_Siddipet_20260602_20260604_214937/all_article_crops_final
diff --git a/_nta.log b/_nta.log
new file mode 100644
index 0000000..6e6f3f5
--- /dev/null
+++ b/_nta.log
@@ -0,0 +1,179 @@
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 5 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL5    [668,901,4084,6302] 3416x5401 mem=22
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
\ No newline at end of file
diff --git a/_nta2.log b/_nta2.log
new file mode 100644
index 0000000..6c11505
--- /dev/null
+++ b/_nta2.log
@@ -0,0 +1,295 @@
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=21
+  DL56   [1265,901,4079,4724] 2814x3823 mem=11
+  DL9    [105,2334,1197,6302] 1092x3968 mem=5
+  H59   [112,2762,3229,4860] 3117x2098 mem=13
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+DONE -> output/NamastheTelangana_Adilabad_20260528_20260610_160056/all_article_crops_review
diff --git a/_nta3.log b/_nta3.log
new file mode 100644
index 0000000..c69bbe9
--- /dev/null
+++ b/_nta3.log
@@ -0,0 +1,281 @@
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+=== page 2: 30 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,4979] 468x1493 mem=3
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [610,4170,1497,4966] 887x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  DL26   [154,4987,1498,5443] 1344x456 mem=3
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [114,5467,1498,6269] 1384x802 mem=3
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [590,5993,1498,6302] 908x309 mem=2
+DONE -> output/NamastheTelangana_Adilabad_20260528_20260610_160056/all_article_crops_review
diff --git a/_nta4.log b/_nta4.log
new file mode 100644
index 0000000..2fb4f59
--- /dev/null
+++ b/_nta4.log
@@ -0,0 +1,295 @@
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 1: 6 crops, 6 datelines ===
+  H44   [106,111,4084,3144] 3978x3033 mem=23
+  DL9    [105,2334,1200,6302] 1095x3968 mem=6
+  DL13   [1320,2761,4079,4724] 2759x1963 mem=14
+  H59   [115,3752,3228,4860] 3113x1108 mem=7
+  H41   [2577,4793,4084,6309] 1507x1516 mem=4
+  H30   [668,4829,3208,6302] 2540x1473 mem=11
+   ─ NT late rule-split: R5 → 2 bands at structural rules [4764]
+   🖼  Orphan photo: R38 → article R5 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+=== page 2: 31 crops, 30 datelines ===
+  H80   [1833,465,3228,1814] 1395x1349 mem=6
+  H65   [3293,465,4079,987] 786x522 mem=2
+  H84   [106,501,1776,1820] 1670x1319 mem=6
+  H43   [3292,1014,4079,1562] 787x548 mem=2
+  DL9    [3292,1590,4079,2136] 787x546 mem=2
+  H78   [1838,1678,2517,1805] 679x127 mem=2
+  DL7    [104,1851,923,2566] 819x715 mem=3
+  H74   [981,1883,2350,3060] 1369x1177 mem=4
+  H72   [2408,1884,3227,2713] 819x829 mem=2
+  DL5    [3292,2167,4079,2759] 787x592 mem=2
+  DL23   [104,2596,922,2998] 818x402 mem=2
+  H58   [2408,2772,3226,3479] 818x707 mem=2
+  DL13   [3292,2787,4079,3333] 787x546 mem=2
+  DL20   [106,3050,923,3478] 817x428 mem=2
+  H60   [981,3117,2351,3479] 1370x362 mem=3
+  DL1    [3293,3382,4079,4190] 786x808 mem=2
+  P67   [131,3486,599,5211] 468x1725 mem=4
+  DL10   [1559,3528,3226,4291] 1667x763 mem=4
+  P63   [677,3558,1499,4144] 822x586 mem=2
+  H50   [678,4170,1497,4966] 819x796 mem=2
+  DL12   [3292,4217,4079,4815] 787x598 mem=2
+  H71   [1560,4365,3226,4958] 1666x593 mem=3
+  H51   [3292,4842,4079,5479] 787x637 mem=2
+  DL41   [1561,4960,3225,5110] 1664x150 mem=2
+  H54   [678,4987,1498,5443] 820x456 mem=2
+  H76   [1559,5171,3228,5881] 1669x710 mem=5
+  H53   [677,5467,1498,5964] 821x497 mem=2
+  H83   [3291,5509,4079,6303] 788x794 mem=3
+  H56   [1559,5944,3228,6302] 1669x358 mem=3
+  H46   [680,5993,1498,6302] 818x309 mem=2
+  O79   [152,6141,590,6257] 438x116 mem=1
+   🖼  Orphan photo: R90 → article R67 (an image must belong to an article)
+DONE -> output/NamastheTelangana_Adilabad_20260528_20260610_160056/all_article_crops_review
diff --git a/_r121.txt b/_r121.txt
new file mode 100644
index 0000000..406bd44
--- /dev/null
+++ b/_r121.txt
@@ -0,0 +1,9 @@
+R121 bbox=[2113, 2214, 3502, 3634] kind=H raw=True
+  R12 text y[1996,2719] x[2979,3480] DATELINE
+  R39 image y[2214,2622] x[2113,2939] 
+  R111 figure_title y[2628,2725] x[2196,2856] 
+  R121 doc_title y[2799,2898] x[2422,3493] 
+  R59 image y[2902,3115] x[2981,3502] 
+  R21 text y[2907,3621] x[2419,2945] DATELINE
+  R116 figure_title y[3123,3163] x[3113,3376] 
+  R14 text y[3195,3622] x[2977,3502] 
diff --git a/_r65.txt b/_r65.txt
new file mode 100644
index 0000000..65212aa
--- /dev/null
+++ b/_r65.txt
@@ -0,0 +1,20 @@
+page WxH=4200x6422; 12 blocks
+
+R65 bbox=[113, 1958, 1977, 6279] kind=H raw=True locked=False #members=36
+R65 datelines: [43, 47, 26, 21]
+vertical walls: [(616, 4683, 6292), (141, 4683, 6292), (123, 4123, 6309), (637, 4122, 6309), (2015, 1949, 5689), (3300, 1929, 6308), (2669, 404, 1905)]
+wide H-seps (>0.5W): [(1936, 114, 4091), (5709, 686, 3276)]
+
+all block anchors+bbox:
+  R109 H bbox=[119, 393, 612, 1899] ndl=1
+  R79 H bbox=[2693, 405, 4087, 1833] ndl=1
+  R55 H bbox=[679, 415, 2630, 1919] ndl=1
+  R77 H bbox=[2692, 1594, 4087, 1903] ndl=1
+  R14 DL bbox=[2045, 1950, 3265, 3097] ndl=1
+  R65 H bbox=[113, 1958, 1977, 6279] ndl=4
+  R96 H bbox=[3326, 1964, 4087, 3638] ndl=1
+  R64 H bbox=[2046, 3116, 3264, 4832] ndl=2
+  R97 H bbox=[3322, 3756, 4087, 5831] ndl=1
+  R110 H bbox=[2044, 4858, 3265, 5685] ndl=1
+  R59 H bbox=[680, 5731, 3267, 6318] ndl=1
+  R7 DL bbox=[3308, 5839, 4087, 6305] ndl=1
diff --git a/_rSAK.txt b/_rSAK.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_sak_base.log b/_sak_base.log
new file mode 100644
index 0000000..5048a17
--- /dev/null
+++ b/_sak_base.log
@@ -0,0 +1,78 @@
+
+=== page 1: 22 crops, 17 datelines ===
+  R 55 H bbox=[2796,291,4114,2002] 1318x1711 mem=8 {'image': 2, 'text': 5, 'doc_title': 1} 
+  R 94 P bbox=[2113,299,2785,3703] 672x3404 mem=5 {'paragraph_title': 1, 'text': 4} 
+  R 52 H bbox=[1080,371,2766,2350] 1686x1979 mem=6 {'doc_title': 1, 'image': 3, 'paragraph_title': 1, 'text': 1} 
+  R 71 DL bbox=[769,913,1375,1781] 606x868 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 11 DL bbox=[694,1789,1440,2678] 746x889 mem=1 {'text': 1} 
+  R 77 H bbox=[2793,1973,4114,3303] 1321x1330 mem=10 {'text': 6, 'image': 1, 'figure_title': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 66 P bbox=[694,2686,1391,3745] 697x1059 mem=4 {'paragraph_title': 1, 'text': 3} 
+  R 51 P bbox=[1399,2686,2105,3458] 706x772 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 78 H bbox=[749,3466,2070,6049] 1321x2583 mem=11 {'text': 8, 'image': 1, 'figure_title': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,3509,4114,6094] 1321x2585 mem=13 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 1} 
+  R  4 DL bbox=[2113,3707,2752,4876] 639x1169 mem=2 {'text': 1, 'image': 1} 
+  R  3 DL bbox=[750,3753,1388,4588] 638x835 mem=1 {'text': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=4 {'doc_title': 1, 'text': 3} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,1391,6637] 619x555 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 18 O bbox=[1430,6086,2049,6635] 619x549 mem=1 {'text': 1} ORPHAN
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  🖼  Orphan photo: R28 → article R78 (an image must belong to an article)
+  🖼  Orphan photo: R28 → article R78 (an image must belong to an article)
+  🖼  Orphan photo: R28 → article R78 (an image must belong to an article)
+  🖼  Orphan photo: R28 → article R78 (an image must belong to an article)
+
+=== page 2: 20 crops, 11 datelines ===
+  R 61 O bbox=[777,474,1506,2308] 729x1834 mem=8 {'image': 3, 'text': 3, 'figure_title': 2} IMG-ORPHAN? ORPHAN
+  R 82 H bbox=[695,478,2747,2308] 2052x1830 mem=10 {'text': 3, 'image': 4, 'figure_title': 2, 'doc_title': 1} 
+  R 55 O bbox=[2549,479,2801,1028] 252x549 mem=2 {'image': 1, 'text': 1} IMG-ORPHAN? ORPHAN
+  R129 P bbox=[80,482,769,1053] 689x571 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 72 H bbox=[2755,482,3519,2232] 764x1750 mem=8 {'image': 3, 'text': 3, 'doc_title': 1, 'figure_title': 1} 
+  R127 H bbox=[3353,482,4115,2215] 762x1733 mem=9 {'text': 4, 'image': 3, 'figure_title': 1, 'doc_title': 1} 
+  R 24 O bbox=[80,1061,687,2305] 607x1244 mem=4 {'image': 1, 'figure_title': 1, 'text': 2} IMG-ORPHAN? ORPHAN
+  R118 H bbox=[2795,2298,4115,2954] 1320x656 mem=4 {'doc_title': 1, 'text': 1, 'image': 2} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R113 H bbox=[72,2417,709,4641] 637x2224 mem=7 {'doc_title': 1, 'text': 3, 'image': 2, 'figure_title': 1} 
+  R 14 DL bbox=[3475,2685,4115,3999] 640x1314 mem=5 {'text': 3, 'image': 1, 'paragraph_title': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R  4 F bbox=[2002,3658,2752,5938] 750x2280 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 3} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,6617] 478x1638 mem=6 {'text': 5, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1217,5969,2752,6682] 1535x713 mem=4 {'text': 3, 'doc_title': 1} 
+  >>> image-only orphans REMAINING: []
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R38 → article R72 (an image must belong to an article)
+  🖼  Orphan photo: R48 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R38 → article R72 (an image must belong to an article)
+  🖼  Orphan photo: R48 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R38 → article R72 (an image must belong to an article)
+  🖼  Orphan photo: R48 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix2.log b/_sak_fix2.log
new file mode 100644
index 0000000..4a9833e
--- /dev/null
+++ b/_sak_fix2.log
@@ -0,0 +1,63 @@
+
+=== page 1: 19 crops, 16 datelines ===
+  R 55 H bbox=[2796,1049,4114,2002] 1318x953 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 52 H bbox=[664,1067,2749,2657] 2085x1590 mem=8 {'doc_title': 1, 'text': 3, 'image': 2, 'paragraph_title': 2} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 94 P bbox=[2113,1941,2755,3257] 642x1316 mem=4 {'paragraph_title': 1, 'text': 3} 
+  R 77 H bbox=[2793,1973,4114,3315] 1321x1342 mem=8 {'text': 6, 'doc_title': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 66 P bbox=[693,2665,1391,3349] 698x684 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 51 P bbox=[1399,2665,2105,3349] 706x684 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R100 H bbox=[2113,2860,4114,4876] 2001x2016 mem=10 {'doc_title': 1, 'text': 5, 'image': 3, 'figure_title': 1} 
+  R 99 H bbox=[750,3357,2068,4588] 1318x1231 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 78 H bbox=[749,3891,2070,6049] 1321x2158 mem=10 {'doc_title': 1, 'text': 8, 'figure_title': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=4 {'doc_title': 1, 'text': 3} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [664, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 21 crops, 11 datelines ===
+  R 61 O bbox=[777,474,1506,2308] 729x1834 mem=8 {'image': 3, 'text': 3, 'figure_title': 2} IMG-ORPHAN? ORPHAN
+  R 82 H bbox=[695,478,2747,2308] 2052x1830 mem=10 {'text': 3, 'image': 4, 'figure_title': 2, 'doc_title': 1} 
+  R 55 O bbox=[2549,479,2801,1028] 252x549 mem=2 {'image': 1, 'text': 1} IMG-ORPHAN? ORPHAN
+  R129 P bbox=[80,482,769,1053] 689x571 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 72 H bbox=[2755,482,3519,2232] 764x1750 mem=8 {'image': 3, 'text': 3, 'doc_title': 1, 'figure_title': 1} 
+  R127 H bbox=[3353,482,4115,2215] 762x1733 mem=9 {'text': 4, 'image': 3, 'figure_title': 1, 'doc_title': 1} 
+  R 24 O bbox=[80,1061,687,2305] 607x1244 mem=4 {'image': 1, 'figure_title': 1, 'text': 2} IMG-ORPHAN? ORPHAN
+  R118 H bbox=[2795,2298,4115,2954] 1320x656 mem=4 {'doc_title': 1, 'text': 1, 'image': 2} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R113 H bbox=[72,2417,709,4641] 637x2224 mem=7 {'doc_title': 1, 'text': 3, 'image': 2, 'figure_title': 1} 
+  R 14 DL bbox=[3475,2685,4115,3999] 640x1314 mem=5 {'text': 3, 'image': 1, 'paragraph_title': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 99 H bbox=[650,3656,2071,6145] 1421x2489 mem=10 {'image': 1, 'text': 7, 'doc_title': 1, 'paragraph_title': 1} 
+  R 10 F bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R  4 F bbox=[2002,4723,2752,5938] 750x1215 mem=4 {'text': 2, 'paragraph_title': 2} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1104,5969,2752,6682] 1648x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R139 H bbox=[614,6155,1168,6617] 554x462 mem=2 {'doc_title': 1, 'text': 1} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R139 doc_title [614, 6155, 1168, 6236] (un-boxed display headline band, ink=0.51)
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1104, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R72 (an image must belong to an article)
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R48 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix3.log b/_sak_fix3.log
new file mode 100644
index 0000000..6681937
--- /dev/null
+++ b/_sak_fix3.log
@@ -0,0 +1,54 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[664,1067,2755,3314] 2091x2247 mem=17 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 5} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [664, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2736] 646x2237 mem=8 {'paragraph_title': 1, 'image': 2, 'text': 3, 'figure_title': 2} 
+  R118 H bbox=[2795,2298,4115,2954] 1320x656 mem=4 {'text': 1, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R 14 DL bbox=[3475,2685,4115,3999] 640x1314 mem=5 {'text': 3, 'image': 1, 'paragraph_title': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[650,3656,2071,6145] 1421x2489 mem=10 {'image': 1, 'text': 7, 'doc_title': 1, 'paragraph_title': 1} 
+  R 10 F bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R  4 F bbox=[2002,4723,2752,5938] 750x1215 mem=4 {'text': 2, 'paragraph_title': 2} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1104,5969,2752,6682] 1648x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R139 H bbox=[614,6155,1168,6617] 554x462 mem=2 {'doc_title': 1, 'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline SYNTH: R139 doc_title [614, 6155, 1168, 6236] (un-boxed display headline band, ink=0.51)
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1104, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix4.log b/_sak_fix4.log
new file mode 100644
index 0000000..9032b7b
--- /dev/null
+++ b/_sak_fix4.log
@@ -0,0 +1,54 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 5} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2736] 646x2237 mem=8 {'paragraph_title': 1, 'image': 2, 'text': 3, 'figure_title': 2} 
+  R118 H bbox=[2795,2298,4115,2954] 1320x656 mem=4 {'text': 1, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R 14 DL bbox=[3475,2685,4115,3999] 640x1314 mem=5 {'text': 3, 'image': 1, 'paragraph_title': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R  4 F bbox=[2002,3658,2752,5938] 750x2280 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 3} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=4 {'text': 3, 'doc_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,6145] 478x1166 mem=5 {'text': 4, 'paragraph_title': 1} 
+  R 77 H bbox=[1147,5193,2752,6694] 1605x1501 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R139 H bbox=[614,6155,1168,6617] 554x462 mem=2 {'doc_title': 1, 'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline SYNTH: R139 doc_title [614, 6155, 1168, 6236] (un-boxed display headline band, ink=0.51)
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix5.log b/_sak_fix5.log
new file mode 100644
index 0000000..b1068d9
--- /dev/null
+++ b/_sak_fix5.log
@@ -0,0 +1,52 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 5} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2736] 646x2237 mem=8 {'paragraph_title': 1, 'image': 2, 'text': 3, 'figure_title': 2} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2002,3658,2752,5938] 750x2280 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 3} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,6617] 478x1638 mem=6 {'text': 5, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix6.log b/_sak_fix6.log
new file mode 100644
index 0000000..178f746
--- /dev/null
+++ b/_sak_fix6.log
@@ -0,0 +1,52 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 5} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2002,3658,2752,5938] 750x2280 mem=8 {'text': 4, 'image': 1, 'paragraph_title': 3} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,6617] 478x1638 mem=6 {'text': 5, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fix7.log b/_sak_fix7.log
new file mode 100644
index 0000000..9317ffa
--- /dev/null
+++ b/_sak_fix7.log
@@ -0,0 +1,55 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'doc_title': 1, 'text': 9, 'image': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'doc_title': 1, 'text': 9, 'image': 2, 'paragraph_title': 5} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,2752,5939] 1536x1229 mem=10 {'text': 5, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,5185] 478x206 mem=1 {'text': 1} 
+  R 92 F bbox=[653,5252,1127,5744] 474x492 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 90 F bbox=[685,5924,1099,6145] 414x221 mem=1 {'text': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R110 F bbox=[668,6258,1106,6617] 438x359 mem=1 {'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_fixABC.log b/_sak_fixABC.log
new file mode 100644
index 0000000..2be5047
--- /dev/null
+++ b/_sak_fixABC.log
@@ -0,0 +1,55 @@
+
+=== page 1: 12 crops, 16 datelines ===
+  R 55 H bbox=[2796,1049,4114,2002] 1318x953 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 52 H bbox=[664,1067,2749,2657] 2085x1590 mem=8 {'doc_title': 1, 'text': 3, 'image': 2, 'paragraph_title': 2} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 94 P bbox=[2113,1941,2755,3257] 642x1316 mem=4 {'paragraph_title': 1, 'text': 3} 
+  R 77 H bbox=[2793,1973,4114,3315] 1321x1342 mem=8 {'text': 6, 'doc_title': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 66 P bbox=[693,2665,1391,6678] 698x4013 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 51 P bbox=[1399,2665,2105,6678] 706x4013 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 99 H bbox=[749,2860,4114,6698] 3365x3838 mem=45 {'text': 30, 'image': 5, 'figure_title': 2, 'paragraph_title': 3, 'doc_title': 5} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3353, 4097, 3452] (un-boxed display headline band, ink=0.32)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [664, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 21 crops, 11 datelines ===
+  R 61 O bbox=[777,474,1506,2308] 729x1834 mem=8 {'image': 3, 'text': 3, 'figure_title': 2} IMG-ORPHAN? ORPHAN
+  R 82 H bbox=[695,478,2747,2308] 2052x1830 mem=10 {'text': 3, 'image': 4, 'figure_title': 2, 'doc_title': 1} 
+  R 55 O bbox=[2549,479,2801,1028] 252x549 mem=2 {'image': 1, 'text': 1} IMG-ORPHAN? ORPHAN
+  R129 P bbox=[80,482,769,1053] 689x571 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 72 H bbox=[2755,482,3519,2232] 764x1750 mem=8 {'image': 3, 'text': 3, 'doc_title': 1, 'figure_title': 1} 
+  R127 H bbox=[3353,482,4115,2215] 762x1733 mem=9 {'text': 4, 'image': 3, 'figure_title': 1, 'doc_title': 1} 
+  R 24 O bbox=[80,1061,687,2305] 607x1244 mem=4 {'image': 1, 'figure_title': 1, 'text': 2} IMG-ORPHAN? ORPHAN
+  R118 H bbox=[2795,2298,4115,2954] 1320x656 mem=4 {'doc_title': 1, 'text': 1, 'image': 2} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=3 {'doc_title': 1, 'text': 2} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R113 H bbox=[72,2417,709,4641] 637x2224 mem=7 {'doc_title': 1, 'text': 3, 'image': 2, 'figure_title': 1} 
+  R 14 DL bbox=[3475,2685,4115,3999] 640x1314 mem=5 {'text': 3, 'image': 1, 'paragraph_title': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 99 H bbox=[650,3656,2071,6145] 1421x2489 mem=10 {'image': 1, 'text': 7, 'doc_title': 1, 'paragraph_title': 1} 
+  R 10 F bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,1963,5939] 747x1229 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R  4 F bbox=[2002,4723,2752,5938] 750x1215 mem=4 {'text': 2, 'paragraph_title': 2} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 77 H bbox=[1104,5969,2752,6682] 1648x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R139 H bbox=[614,6155,1168,6617] 554x462 mem=2 {'doc_title': 1, 'text': 1} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R139 doc_title [614, 6155, 1168, 6236] (un-boxed display headline band, ink=0.51)
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1104, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R72 (an image must belong to an article)
+  🖼  Orphan photo: R42 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R48 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R52 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R60 → article R82 (an image must belong to an article)
+  🖼  Orphan photo: R63 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_newrun.log b/_sak_newrun.log
new file mode 100644
index 0000000..2fc667b
--- /dev/null
+++ b/_sak_newrun.log
@@ -0,0 +1,41 @@
+
+=== page 1: 13 crops, 14 datelines ===
+  R 53 H bbox=[2792,1069,4115,3285] 1323x2216 mem=14 {'doc_title': 1, 'text': 9, 'image': 1, 'figure_title': 1, 'paragraph_title': 2} 
+  R 46 H bbox=[684,1077,2784,3285] 2100x2208 mem=21 {'doc_title': 2, 'text': 11, 'image': 2, 'paragraph_title': 6} 
+  R 66 H bbox=[99,1078,681,2654] 582x1576 mem=3 {'doc_title': 1, 'text': 1, 'paragraph_title': 1} 
+  R 65 H bbox=[99,2678,680,4455] 581x1777 mem=6 {'text': 3, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 82 H bbox=[2114,3293,4115,5007] 2001x1714 mem=11 {'doc_title': 1, 'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[749,3323,2069,4792] 1320x1469 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R  3 DL bbox=[98,4463,741,5703] 643x1240 mem=2 {'text': 1, 'image': 1} 
+  R 47 H bbox=[749,4850,2368,5588] 1619x738 mem=6 {'doc_title': 1, 'text': 2, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 93 H bbox=[2791,5058,4115,6247] 1324x1189 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  R 55 H bbox=[2137,5113,2736,6130] 599x1017 mem=2 {'doc_title': 1, 'text': 1} 
+  R 44 H bbox=[98,5711,681,6639] 583x928 mem=2 {'doc_title': 1, 'text': 1} 
+  R100 H bbox=[750,5782,2072,6697] 1322x915 mem=5 {'doc_title': 1, 'text': 2, 'image': 2} 
+  R 56 H bbox=[2564,6284,4115,6691] 1551x407 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline WIDEN: R100 [765, 6130, 1350, 6228] → [765, 6130, 1949, 6228] (un-boxed kicker ink alongside)
+
+=== page 2: 16 crops, 15 datelines ===
+  R 61 H bbox=[931,490,4115,2536] 3184x2046 mem=32 {'text': 15, 'image': 8, 'doc_title': 2, 'paragraph_title': 5, 'figure_title': 2} 
+  R106 H bbox=[2081,490,2753,5535] 672x5045 mem=6 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 2, 'paragraph_title': 1} 
+  R105 P bbox=[78,498,898,1656] 820x1158 mem=5 {'paragraph_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R128 P bbox=[106,1664,860,2507] 754x843 mem=4 {'paragraph_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R 57 H bbox=[751,2579,2754,4161] 2003x1582 mem=10 {'doc_title': 1, 'text': 7, 'image': 1, 'paragraph_title': 1} 
+  R 69 H bbox=[2794,2589,4115,3863] 1321x1274 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R121 DL bbox=[70,2805,709,3948] 639x1143 mem=6 {'text': 3, 'image': 1, 'paragraph_title': 1, 'figure_title': 1} 
+  R100 H bbox=[752,3306,2070,5044] 1318x1738 mem=5 {'text': 4, 'doc_title': 1} 
+  R 95 H bbox=[2795,3914,4115,4990] 1320x1076 mem=6 {'doc_title': 2, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 87 DL bbox=[73,3974,709,5049] 636x1075 mem=5 {'text': 2, 'image': 2, 'figure_title': 1} 
+  R 80 H bbox=[2814,5054,4115,6172] 1301x1118 mem=7 {'text': 4, 'image': 2, 'doc_title': 1} 
+  R115 DL bbox=[94,5097,1161,6624] 1067x1527 mem=5 {'text': 4, 'image': 1} 
+  R107 H bbox=[1199,5102,2071,6685] 872x1583 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 74 F bbox=[658,5350,1139,6624] 481x1274 mem=4 {'text': 4} 
+  R  7 DL bbox=[2114,5559,2754,6684] 640x1125 mem=3 {'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 90 H bbox=[2814,5760,3431,6635] 617x875 mem=4 {'doc_title': 1, 'text': 3} 
+  R 76 H bbox=[3474,5970,4115,6634] 641x664 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R12 → 2 bands at rules [4170]
+  🖼  Orphan photo: R36 → article R87 (an image must belong to an article)
+
+DONE -> output/Sakshi_Jangaon District_20260513_20260610_140735/all_article_crops_review
diff --git a/_sak_newrun2.log b/_sak_newrun2.log
new file mode 100644
index 0000000..1ffcc65
--- /dev/null
+++ b/_sak_newrun2.log
@@ -0,0 +1,50 @@
+
+=== page 1: 19 crops, 14 datelines ===
+  R 53 H bbox=[2792,1069,4115,3285] 1323x2216 mem=14 {'text': 9, 'image': 1, 'doc_title': 1, 'figure_title': 1, 'paragraph_title': 2} 
+  R 46 H bbox=[684,1077,2784,2187] 2100x1110 mem=8 {'doc_title': 2, 'text': 4, 'image': 1, 'paragraph_title': 1} 
+  R 84 P bbox=[1433,1077,2107,2755] 674x1678 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 66 H bbox=[99,1078,681,2654] 582x1576 mem=3 {'doc_title': 1, 'text': 1, 'paragraph_title': 1} 
+  R 45 P bbox=[689,2195,1425,3315] 736x1120 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 72 P bbox=[2115,2195,2784,2915] 669x720 mem=5 {'paragraph_title': 1, 'text': 3, 'image': 1} 
+  R 65 H bbox=[99,2678,680,4291] 581x1613 mem=4 {'text': 2, 'image': 1, 'doc_title': 1} 
+  R 48 P bbox=[1433,2763,2107,3315] 674x552 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 60 P bbox=[2115,2923,2784,3285] 669x362 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 82 H bbox=[2114,3293,4115,5007] 2001x1714 mem=11 {'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1, 'doc_title': 1} 
+  R 75 H bbox=[749,3323,2069,4792] 1320x1469 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 86 P bbox=[102,4299,741,4455] 639x156 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R  3 DL bbox=[98,4463,741,5703] 643x1240 mem=2 {'text': 1, 'image': 1} 
+  R 47 H bbox=[749,4850,2368,5588] 1619x738 mem=6 {'doc_title': 1, 'text': 2, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 93 H bbox=[2791,5058,4115,6247] 1324x1189 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  R 55 H bbox=[2137,5113,2736,6130] 599x1017 mem=2 {'doc_title': 1, 'text': 1} 
+  R 44 H bbox=[98,5711,681,6639] 583x928 mem=2 {'doc_title': 1, 'text': 1} 
+  R100 H bbox=[750,5782,2072,6697] 1322x915 mem=5 {'doc_title': 1, 'text': 2, 'image': 2} 
+  R 56 H bbox=[2564,6284,4115,6691] 1551x407 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline WIDEN: R100 [765, 6130, 1350, 6228] → [765, 6130, 1949, 6228] (un-boxed kicker ink alongside)
+
+=== page 2: 19 crops, 15 datelines ===
+  R 61 H bbox=[931,490,4115,2536] 3184x2046 mem=32 {'text': 15, 'image': 8, 'doc_title': 2, 'paragraph_title': 5, 'figure_title': 2} 
+  R127 P bbox=[2081,490,2754,4147] 673x3657 mem=3 {'paragraph_title': 1, 'text': 1, 'figure_title': 1} 
+  R105 P bbox=[78,498,898,1518] 820x1020 mem=5 {'paragraph_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R121 DL bbox=[70,1526,743,3817] 673x2291 mem=4 {'text': 2, 'image': 1, 'figure_title': 1} 
+  R128 P bbox=[106,1664,860,2507] 754x843 mem=4 {'paragraph_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R 57 H bbox=[754,2579,2751,3639] 1997x1060 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 69 H bbox=[2794,2589,4115,3863] 1321x1274 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R  4 DL bbox=[751,3306,2071,4149] 1320x843 mem=3 {'text': 3} 
+  R 81 P bbox=[75,3825,743,3966] 668x141 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 95 H bbox=[2795,3914,4115,4990] 1320x1076 mem=6 {'doc_title': 2, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 87 DL bbox=[73,3974,709,5049] 636x1075 mem=5 {'text': 2, 'image': 2, 'figure_title': 1} 
+  R100 H bbox=[752,4203,2070,5044] 1318x841 mem=4 {'text': 3, 'doc_title': 1} 
+  R106 H bbox=[2114,4209,2753,5535] 639x1326 mem=5 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 80 H bbox=[2814,5054,4115,6172] 1301x1118 mem=7 {'text': 4, 'image': 2, 'doc_title': 1} 
+  R115 DL bbox=[94,5097,1161,6624] 1067x1527 mem=5 {'text': 4, 'image': 1} 
+  R107 H bbox=[1199,5102,2071,6685] 872x1583 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 74 F bbox=[658,5350,1139,6624] 481x1274 mem=4 {'text': 4} 
+  R  7 DL bbox=[2114,5559,2754,6684] 640x1125 mem=3 {'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 90 H bbox=[2814,5760,3431,6635] 617x875 mem=4 {'doc_title': 1, 'text': 3} 
+  R 76 H bbox=[3474,5970,4115,6634] 641x664 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R12 → 2 bands at rules [4170]
+  🖼  Orphan photo: R36 → article R87 (an image must belong to an article)
+
+DONE -> output/Sakshi_Jangaon District_20260513_20260610_140735/all_article_crops_review
diff --git a/_sak_newrun3.log b/_sak_newrun3.log
new file mode 100644
index 0000000..3949b33
--- /dev/null
+++ b/_sak_newrun3.log
@@ -0,0 +1,42 @@
+
+=== page 1: 14 crops, 14 datelines ===
+  R 53 H bbox=[2792,1069,4115,3285] 1323x2216 mem=14 {'text': 9, 'image': 1, 'doc_title': 1, 'figure_title': 1, 'paragraph_title': 2} 
+  R 46 H bbox=[684,1077,2784,3285] 2100x2208 mem=21 {'text': 11, 'image': 2, 'paragraph_title': 6, 'doc_title': 2} 
+  R 66 H bbox=[99,1078,681,2654] 582x1576 mem=3 {'doc_title': 1, 'text': 1, 'paragraph_title': 1} 
+  R 65 H bbox=[99,2678,680,4291] 581x1613 mem=4 {'text': 2, 'image': 1, 'doc_title': 1} 
+  R 82 H bbox=[2114,3293,4115,5007] 2001x1714 mem=11 {'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1, 'doc_title': 1} 
+  R 75 H bbox=[749,3323,2069,4792] 1320x1469 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 86 P bbox=[102,4299,741,4455] 639x156 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R  3 DL bbox=[98,4463,741,5703] 643x1240 mem=2 {'text': 1, 'image': 1} 
+  R 47 H bbox=[749,4850,2368,5588] 1619x738 mem=6 {'doc_title': 1, 'text': 2, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 93 H bbox=[2791,5058,4115,6247] 1324x1189 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  R 55 H bbox=[2137,5113,2736,6130] 599x1017 mem=2 {'doc_title': 1, 'text': 1} 
+  R 44 H bbox=[98,5711,681,6639] 583x928 mem=2 {'doc_title': 1, 'text': 1} 
+  R100 H bbox=[750,5782,2072,6697] 1322x915 mem=5 {'doc_title': 1, 'text': 2, 'image': 2} 
+  R 56 H bbox=[2564,6284,4115,6691] 1551x407 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline WIDEN: R100 [765, 6130, 1350, 6228] → [765, 6130, 1949, 6228] (un-boxed kicker ink alongside)
+
+=== page 2: 16 crops, 15 datelines ===
+  R 61 H bbox=[931,490,4115,2536] 3184x2046 mem=32 {'text': 15, 'image': 8, 'doc_title': 2, 'paragraph_title': 5, 'figure_title': 2} 
+  R106 H bbox=[2081,490,2753,5535] 672x5045 mem=6 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 2, 'paragraph_title': 1} 
+  R105 P bbox=[78,498,898,1656] 820x1158 mem=5 {'paragraph_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R128 P bbox=[106,1664,860,2507] 754x843 mem=4 {'paragraph_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R 57 H bbox=[751,2579,2754,4161] 2003x1582 mem=11 {'text': 8, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 69 H bbox=[2794,2589,4115,3863] 1321x1274 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R121 DL bbox=[70,2805,709,3948] 639x1143 mem=6 {'text': 3, 'image': 1, 'paragraph_title': 1, 'figure_title': 1} 
+  R 95 H bbox=[2795,3914,4115,4990] 1320x1076 mem=6 {'doc_title': 2, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 87 DL bbox=[73,3974,709,5049] 636x1075 mem=5 {'text': 2, 'image': 2, 'figure_title': 1} 
+  R100 H bbox=[752,4203,2070,5044] 1318x841 mem=4 {'text': 3, 'doc_title': 1} 
+  R 80 H bbox=[2814,5054,4115,6172] 1301x1118 mem=7 {'text': 4, 'image': 2, 'doc_title': 1} 
+  R115 DL bbox=[94,5097,1161,6624] 1067x1527 mem=5 {'text': 4, 'image': 1} 
+  R107 H bbox=[1199,5102,2071,6685] 872x1583 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 74 F bbox=[658,5350,1139,6624] 481x1274 mem=4 {'text': 4} 
+  R  7 DL bbox=[2114,5559,2754,6684] 640x1125 mem=3 {'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 90 H bbox=[2814,5760,3431,6635] 617x875 mem=4 {'doc_title': 1, 'text': 3} 
+  R 76 H bbox=[3474,5970,4115,6634] 641x664 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R12 → 2 bands at rules [4170]
+  🖼  Orphan photo: R36 → article R87 (an image must belong to an article)
+
+DONE -> output/Sakshi_Jangaon District_20260513_20260610_140735/all_article_crops_review
diff --git a/_sak_newrun4.log b/_sak_newrun4.log
new file mode 100644
index 0000000..b046ab8
--- /dev/null
+++ b/_sak_newrun4.log
@@ -0,0 +1,42 @@
+
+=== page 1: 14 crops, 14 datelines ===
+  R 53 H bbox=[2792,1069,4115,3285] 1323x2216 mem=14 {'text': 9, 'image': 1, 'doc_title': 1, 'figure_title': 1, 'paragraph_title': 2} 
+  R 46 H bbox=[684,1077,2784,3285] 2100x2208 mem=21 {'text': 11, 'image': 2, 'paragraph_title': 6, 'doc_title': 2} 
+  R 66 H bbox=[99,1078,681,2654] 582x1576 mem=3 {'doc_title': 1, 'text': 1, 'paragraph_title': 1} 
+  R 65 H bbox=[99,2678,680,4291] 581x1613 mem=4 {'text': 2, 'image': 1, 'doc_title': 1} 
+  R 82 H bbox=[2114,3293,4115,5007] 2001x1714 mem=11 {'text': 7, 'image': 1, 'figure_title': 1, 'paragraph_title': 1, 'doc_title': 1} 
+  R 75 H bbox=[749,3323,2069,4792] 1320x1469 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 86 P bbox=[102,4299,741,4455] 639x156 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R  3 DL bbox=[98,4463,741,5703] 643x1240 mem=2 {'text': 1, 'image': 1} 
+  R 47 H bbox=[749,4850,2368,5588] 1619x738 mem=6 {'doc_title': 1, 'text': 2, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 93 H bbox=[2791,5058,4115,6247] 1324x1189 mem=6 {'doc_title': 1, 'text': 3, 'image': 1, 'figure_title': 1} 
+  R 55 H bbox=[2137,5113,2736,6130] 599x1017 mem=2 {'doc_title': 1, 'text': 1} 
+  R 44 H bbox=[98,5711,681,6639] 583x928 mem=2 {'doc_title': 1, 'text': 1} 
+  R100 H bbox=[750,5782,2072,6697] 1322x915 mem=5 {'doc_title': 1, 'text': 2, 'image': 2} 
+  R 56 H bbox=[2564,6284,4115,6691] 1551x407 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline WIDEN: R100 [765, 6130, 1350, 6228] → [765, 6130, 1949, 6228] (un-boxed kicker ink alongside)
+
+=== page 2: 16 crops, 15 datelines ===
+  R 61 H bbox=[931,490,4115,2536] 3184x2046 mem=33 {'text': 15, 'image': 8, 'doc_title': 2, 'paragraph_title': 5, 'figure_title': 3} 
+  R105 P bbox=[78,498,898,1656] 820x1158 mem=5 {'paragraph_title': 1, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R128 P bbox=[106,1664,860,2507] 754x843 mem=4 {'paragraph_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R 57 H bbox=[751,2579,2754,4161] 2003x1582 mem=11 {'text': 8, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 69 H bbox=[2794,2589,4115,3863] 1321x1274 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R121 DL bbox=[70,2805,709,3948] 639x1143 mem=6 {'text': 3, 'image': 1, 'paragraph_title': 1, 'figure_title': 1} 
+  R 95 H bbox=[2795,3914,4115,4990] 1320x1076 mem=6 {'doc_title': 2, 'image': 1, 'text': 2, 'figure_title': 1} 
+  R 87 DL bbox=[73,3974,709,5049] 636x1075 mem=5 {'text': 2, 'image': 2, 'figure_title': 1} 
+  R100 H bbox=[752,4203,2070,5044] 1318x841 mem=4 {'text': 3, 'doc_title': 1} 
+  R106 H bbox=[2114,4209,2753,5535] 639x1326 mem=5 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1, 'paragraph_title': 1} 
+  R 80 H bbox=[2814,5054,4115,6172] 1301x1118 mem=7 {'text': 4, 'image': 2, 'doc_title': 1} 
+  R115 DL bbox=[94,5097,1161,6624] 1067x1527 mem=5 {'text': 4, 'image': 1} 
+  R107 H bbox=[1199,5102,2071,6685] 872x1583 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 74 F bbox=[658,5350,1139,6624] 481x1274 mem=4 {'text': 4} 
+  R  7 DL bbox=[2114,5559,2754,6684] 640x1125 mem=3 {'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 90 H bbox=[2814,5760,3431,6635] 617x875 mem=4 {'doc_title': 1, 'text': 3} 
+  R 76 H bbox=[3474,5970,4115,6634] 641x664 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R12 → 2 bands at rules [4170]
+  🖼  Orphan photo: R36 → article R87 (an image must belong to an article)
+
+DONE -> output/Sakshi_Jangaon District_20260513_20260610_140735/all_article_crops_review
diff --git a/_sak_oldrun2.log b/_sak_oldrun2.log
new file mode 100644
index 0000000..d901e23
--- /dev/null
+++ b/_sak_oldrun2.log
@@ -0,0 +1,58 @@
+
+=== page 1: 19 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'text': 9, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2749,2854] 2061x1787 mem=9 {'doc_title': 1, 'text': 4, 'image': 2, 'paragraph_title': 2} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 94 P bbox=[2113,1941,2755,3257] 642x1316 mem=4 {'paragraph_title': 1, 'text': 3} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 66 P bbox=[749,2686,1391,3302] 642x616 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R 51 P bbox=[1399,2862,2105,3349] 706x487 mem=2 {'paragraph_title': 1, 'text': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,2752,5939] 1536x1229 mem=10 {'text': 5, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,5185] 478x206 mem=1 {'text': 1} 
+  R 92 F bbox=[653,5252,1127,5744] 474x492 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 90 F bbox=[685,5924,1099,6145] 414x221 mem=1 {'text': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R110 F bbox=[668,6258,1106,6617] 438x359 mem=1 {'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_oldrun3.log b/_sak_oldrun3.log
new file mode 100644
index 0000000..a225e8d
--- /dev/null
+++ b/_sak_oldrun3.log
@@ -0,0 +1,55 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'text': 9, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'text': 9, 'image': 2, 'paragraph_title': 5, 'doc_title': 1} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,2752,5939] 1536x1229 mem=10 {'text': 5, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,5185] 478x206 mem=1 {'text': 1} 
+  R 92 F bbox=[653,5252,1127,5744] 474x492 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 90 F bbox=[685,5924,1099,6145] 414x221 mem=1 {'text': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R110 F bbox=[668,6258,1106,6617] 438x359 mem=1 {'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_oldrun4.log b/_sak_oldrun4.log
new file mode 100644
index 0000000..a225e8d
--- /dev/null
+++ b/_sak_oldrun4.log
@@ -0,0 +1,55 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'text': 9, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'text': 9, 'image': 2, 'paragraph_title': 5, 'doc_title': 1} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,2752,5939] 1536x1229 mem=10 {'text': 5, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,5185] 478x206 mem=1 {'text': 1} 
+  R 92 F bbox=[653,5252,1127,5744] 474x492 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 90 F bbox=[685,5924,1099,6145] 414x221 mem=1 {'text': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R110 F bbox=[668,6258,1106,6617] 438x359 mem=1 {'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sak_val7.log b/_sak_val7.log
new file mode 100644
index 0000000..a225e8d
--- /dev/null
+++ b/_sak_val7.log
@@ -0,0 +1,55 @@
+
+=== page 1: 16 crops, 16 datelines ===
+  R 55 H bbox=[2763,1049,4114,2732] 1351x1683 mem=12 {'text': 9, 'image': 1, 'doc_title': 1, 'paragraph_title': 1} 
+  R 52 H bbox=[688,1067,2755,3314] 2067x2247 mem=17 {'text': 9, 'image': 2, 'paragraph_title': 5, 'doc_title': 1} 
+  R 83 H bbox=[92,1079,686,2507] 594x1428 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'paragraph_title': 1} 
+  R 72 H bbox=[92,2536,685,3404] 593x868 mem=2 {'doc_title': 1, 'text': 1} 
+  R 77 H bbox=[2793,2740,4114,3303] 1321x563 mem=4 {'doc_title': 1, 'text': 1, 'image': 1, 'figure_title': 1} 
+  R100 H bbox=[2113,3353,4113,4297] 2000x944 mem=7 {'doc_title': 1, 'text': 5, 'image': 1} 
+  R 99 H bbox=[750,3357,2069,4605] 1319x1248 mem=8 {'doc_title': 1, 'text': 5, 'image': 1, 'figure_title': 1} 
+  R 67 H bbox=[92,3432,686,4743] 594x1311 mem=3 {'doc_title': 1, 'text': 1, 'image': 1} 
+  R 50 H bbox=[2112,4357,2752,5581] 640x1224 mem=5 {'text': 3, 'image': 1, 'doc_title': 1} 
+  R 54 H bbox=[2793,4368,4114,6094] 1321x1726 mem=9 {'doc_title': 1, 'text': 6, 'image': 1, 'paragraph_title': 1} 
+  R 78 H bbox=[749,4622,2070,6049] 1321x1427 mem=7 {'doc_title': 1, 'text': 6} 
+  R  9 DL bbox=[92,4771,685,5982] 593x1211 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R  5 DL bbox=[2112,5609,2753,6686] 641x1077 mem=2 {'text': 1, 'paragraph_title': 1} 
+  R 75 H bbox=[91,6012,688,6640] 597x628 mem=2 {'doc_title': 1, 'text': 1} 
+  R 79 P bbox=[772,6082,2049,6637] 1277x555 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R 98 H bbox=[2793,6114,4114,6696] 1321x582 mem=3 {'doc_title': 1, 'text': 2} 
+  >>> image-only orphans REMAINING: []
+  📐 Sakshi headline SYNTH: R100 doc_title [2126, 3353, 4097, 3452] (un-boxed display headline band, ink=0.35)
+  📐 Sakshi headline SYNTH: R99 doc_title [763, 3357, 2068, 3452] (un-boxed display headline band, ink=0.30)
+  📐 Sakshi headline WIDEN: R52 [1182, 1067, 2738, 1327] → [688, 1067, 2738, 1327] (un-boxed kicker ink alongside)
+  🗞️  Masthead: dropped 5 Sakshi top-band region(s) [59, 62, 63, 64, 71] (above first headline y=1049)
+
+=== page 2: 17 crops, 11 datelines ===
+  R 82 H bbox=[777,474,2801,2212] 2024x1738 mem=20 {'text': 7, 'image': 8, 'figure_title': 4, 'doc_title': 1} 
+  R127 H bbox=[2755,485,4086,2232] 1331x1747 mem=17 {'text': 8, 'image': 6, 'figure_title': 2, 'doc_title': 1} 
+  R129 P bbox=[95,499,741,2209] 646x1710 mem=6 {'paragraph_title': 1, 'image': 1, 'text': 3, 'figure_title': 1} 
+  R118 H bbox=[2795,2298,4115,2957] 1320x659 mem=5 {'text': 2, 'image': 2, 'doc_title': 1} 
+  R 91 H bbox=[72,2313,707,3101] 635x788 mem=5 {'text': 2, 'image': 1, 'doc_title': 1, 'figure_title': 1} 
+  R 41 H bbox=[753,2316,2753,3600] 2000x1284 mem=11 {'text': 9, 'doc_title': 1, 'image': 1} 
+  R  3 DL bbox=[2761,2958,3467,4049] 706x1091 mem=3 {'text': 1, 'image': 1, 'figure_title': 1} 
+  R 14 DL bbox=[3475,3022,4115,3999] 640x977 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R113 H bbox=[72,3129,709,4641] 637x1512 mem=5 {'doc_title': 1, 'text': 3, 'image': 1} 
+  R 99 H bbox=[752,3656,2071,4649] 1319x993 mem=5 {'image': 1, 'text': 3, 'doc_title': 1} 
+  R 88 P bbox=[2113,3658,2752,4643] 639x985 mem=4 {'text': 2, 'image': 1, 'paragraph_title': 1} 
+  R 70 H bbox=[2760,4057,4115,5702] 1355x1645 mem=11 {'doc_title': 1, 'text': 9, 'image': 1} 
+  R 93 H bbox=[1216,4710,2752,5939] 1536x1229 mem=10 {'text': 5, 'image': 1, 'doc_title': 1, 'paragraph_title': 2, 'figure_title': 1} 
+  R136 P bbox=[95,4735,1161,5529] 1066x794 mem=3 {'paragraph_title': 1, 'text': 1, 'image': 1} 
+  R 44 F bbox=[650,4979,1128,5185] 478x206 mem=1 {'text': 1} 
+  R 92 F bbox=[653,5252,1127,5744] 474x492 mem=3 {'text': 2, 'paragraph_title': 1} 
+  R111 P bbox=[120,5618,603,6628] 483x1010 mem=3 {'paragraph_title': 1, 'text': 2} 
+  R 98 H bbox=[2798,5710,4115,6696] 1317x986 mem=6 {'doc_title': 1, 'text': 4, 'image': 1} 
+  R 90 F bbox=[685,5924,1099,6145] 414x221 mem=1 {'text': 1} 
+  R 77 H bbox=[1147,5969,2752,6682] 1605x713 mem=4 {'text': 3, 'doc_title': 1} 
+  R110 F bbox=[668,6258,1106,6617] 438x359 mem=1 {'text': 1} 
+  >>> image-only orphans REMAINING: []
+  ─ Sakshi rule-split: R41 → 3 bands at rules [1066, 2252]
+  ─ Sakshi rule-split: R74 → 2 bands at rules [1066]
+  📐 Sakshi headline WIDEN: R77 [1217, 5969, 2690, 6109] → [1147, 5969, 2690, 6109] (un-boxed kicker ink alongside)
+  🖼  Orphan photo: R38 → article R127 (an image must belong to an article)
+  🖼  Orphan photo: R61 → article R82 (an image must belong to an article)
+  🗞️  Masthead: dropped 4 Sakshi top-band region(s) [68, 71, 84, 104] (above first headline y=499)
+
+DONE -> output/Sakshi_Jangaon_District_20260520_20260609_210104/all_article_crops_review
diff --git a/_sim_base.log b/_sim_base.log
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_14ktolcb b/_tess_tmp/tess_14ktolcb
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_14ktolcb.txt b/_tess_tmp/tess_14ktolcb.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_14ktolcb_input.PNG b/_tess_tmp/tess_14ktolcb_input.PNG
new file mode 100644
index 0000000..65f39c9
Binary files /dev/null and b/_tess_tmp/tess_14ktolcb_input.PNG differ
diff --git a/_tess_tmp/tess_1511jiz9 b/_tess_tmp/tess_1511jiz9
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_1511jiz9.txt b/_tess_tmp/tess_1511jiz9.txt
new file mode 100644
index 0000000..71dca2d
--- /dev/null
+++ b/_tess_tmp/tess_1511jiz9.txt
@@ -0,0 +1,18 @@
+ADEA ASEXE shotloo Sr crsrAs
+Boas dof datwera, Ads Soseor
+weak? Hiirtht dod Siro. Kew0e vOt
+BORD arLBSCOS TS SUNG HOTS
+SS SHS EH ert. SYS OED HU,
+Brag SomoSodS Dweakl SASHyw
+TY. 80 OY GSo DHWBwHS S%So Bra
+oer BS BP wid Sard dren Sewn
+Sndke dSKo Hnowt, & Ysos!
+BraS Zodoh soerr Gardsivg
+DUS HEH OZ dbx Som Soebrey
+Perle SH Spor Sad Seared. ac
+GAS SOShowsh dso SO advert
+Sto, SEBS SrerS ZokoH Sodh ws
+B%o BLISS SS SyPHHS Ser
+UPSPAE SOY. wisp Ero HS Koha
+SE SK0. Stot dSthen Kar aeh'B
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_1511jiz9_input.PNG b/_tess_tmp/tess_1511jiz9_input.PNG
new file mode 100644
index 0000000..75e4cf9
Binary files /dev/null and b/_tess_tmp/tess_1511jiz9_input.PNG differ
diff --git a/_tess_tmp/tess_1onw_da9 b/_tess_tmp/tess_1onw_da9
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_1onw_da9.txt b/_tess_tmp/tess_1onw_da9.txt
new file mode 100644
index 0000000..58d10c5
--- /dev/null
+++ b/_tess_tmp/tess_1onw_da9.txt
@@ -0,0 +1,12 @@
+BS: GSS Sel Ste (ohowS)
+Srghoh SES wQos*s eer wpideSo
+& NODA. 2025 ws8 LeeS* Snifo Tox
+©%8 S0508 ZHf6* ToXoT09 s0A8
+SeghoF SQ erp, 90.59 wo Karciws
+8008. 20m 72,194 0 LY soshoh
+wokofire 408. warshdS(SgE ssp
+espe) Soms 2,33,75 Tre, 31.93 wdor
+608. vert & 3018 5 d45* HOR ay
+Segboh SOB 3.214 Sow wonsen
+weberthen BDar%.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_1onw_da9_input.PNG b/_tess_tmp/tess_1onw_da9_input.PNG
new file mode 100644
index 0000000..aa6f326
Binary files /dev/null and b/_tess_tmp/tess_1onw_da9_input.PNG differ
diff --git a/_tess_tmp/tess_1sf6wilh b/_tess_tmp/tess_1sf6wilh
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_1sf6wilh.txt b/_tess_tmp/tess_1sf6wilh.txt
new file mode 100644
index 0000000..7a60fb8
--- /dev/null
+++ b/_tess_tmp/tess_1sf6wilh.txt
@@ -0,0 +1,18 @@
+BPSASOU: DeogS adFgroo wdhen L608
+woxso maaan. oY SAijo mddos
+Dio AGSL0B. wd Gesey wwe od:
+BOE nO AE SHE wSsr¥o ¥Oy0N0
+&. SiSHoE NDS Gadag we nod
+CRE AHIYHasryon. wond Neds’
+PH SrSo nddo woo SASS ors
+Gets. OY aro{go SpSaras Higher, OF
+ROARS, DAS PASS, Rrcsorer Bo S*ar
+doS HS Sy b3de Se, Smaysd
+aPOE URES DS WES BdaryWS SEyhe
+S850 wdgsore Boorres Ga GE & Hearrs
+RS Yond OWGE doryim Sod. oHo8
+wont DeiegS Soxseo ae ads’, bf es
+8, éé a ALa6, dé 25K4495 aod
+Bo Exp 0% J actyso Sodd davrd) s08.
+BaSSoo8 nado BE 4408. 3&% &%7.0
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_1sf6wilh_input.PNG b/_tess_tmp/tess_1sf6wilh_input.PNG
new file mode 100644
index 0000000..68b1fe4
Binary files /dev/null and b/_tess_tmp/tess_1sf6wilh_input.PNG differ
diff --git a/_tess_tmp/tess_3ayv267z b/_tess_tmp/tess_3ayv267z
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_3ayv267z.txt b/_tess_tmp/tess_3ayv267z.txt
new file mode 100644
index 0000000..71dca2d
--- /dev/null
+++ b/_tess_tmp/tess_3ayv267z.txt
@@ -0,0 +1,18 @@
+ADEA ASEXE shotloo Sr crsrAs
+Boas dof datwera, Ads Soseor
+weak? Hiirtht dod Siro. Kew0e vOt
+BORD arLBSCOS TS SUNG HOTS
+SS SHS EH ert. SYS OED HU,
+Brag SomoSodS Dweakl SASHyw
+TY. 80 OY GSo DHWBwHS S%So Bra
+oer BS BP wid Sard dren Sewn
+Sndke dSKo Hnowt, & Ysos!
+BraS Zodoh soerr Gardsivg
+DUS HEH OZ dbx Som Soebrey
+Perle SH Spor Sad Seared. ac
+GAS SOShowsh dso SO advert
+Sto, SEBS SrerS ZokoH Sodh ws
+B%o BLISS SS SyPHHS Ser
+UPSPAE SOY. wisp Ero HS Koha
+SE SK0. Stot dSthen Kar aeh'B
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_3ayv267z_input.PNG b/_tess_tmp/tess_3ayv267z_input.PNG
new file mode 100644
index 0000000..75e4cf9
Binary files /dev/null and b/_tess_tmp/tess_3ayv267z_input.PNG differ
diff --git a/_tess_tmp/tess_4yfor0nu b/_tess_tmp/tess_4yfor0nu
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_4yfor0nu.txt b/_tess_tmp/tess_4yfor0nu.txt
new file mode 100644
index 0000000..dc1bf58
--- /dev/null
+++ b/_tess_tmp/tess_4yfor0nu.txt
@@ -0,0 +1,19 @@
+Sorisarote: SONS Srsowird dir
+wdho OY Siro Sho vbsrthen Go
+wy GS ONSey BOB. donBI*G
+oped wostren adie Stgods
+DRaho BORod. ak DoxRebo sod by
+G0dS GSS FONE DoF, HAtyeo Dory»,
+ProreosD Aor BOAS Swydrcen,
+RES BL FORH, Divwr pasos aided
+SEfoh wOwrcre Berk Ago dasep
+Seirardo. 180 Sars! sorgsties wxosoe
+©, BRAS Sbxfeo Ntglrodocss Bots
+BrHoxood SSarigen Syoxsew BOLO
+8. wr Goss armen Sorl¥arwo &
+Ahoo AKowo Sk O50 waisr¥o 6%)
+ey BSrardo. Bots 2S sossoWo 5
+Kotor PSE darosoiiyee Seord¥od. Sao
+oO S8orsed woerss 180 See’ wh
+DO dxoen Grd JasD) dotwod.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_4yfor0nu_input.PNG b/_tess_tmp/tess_4yfor0nu_input.PNG
new file mode 100644
index 0000000..e787aed
Binary files /dev/null and b/_tess_tmp/tess_4yfor0nu_input.PNG differ
diff --git a/_tess_tmp/tess_5o3xjw_o b/_tess_tmp/tess_5o3xjw_o
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_5o3xjw_o.txt b/_tess_tmp/tess_5o3xjw_o.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_5o3xjw_o_input.PNG b/_tess_tmp/tess_5o3xjw_o_input.PNG
new file mode 100644
index 0000000..d3ee835
Binary files /dev/null and b/_tess_tmp/tess_5o3xjw_o_input.PNG differ
diff --git a/_tess_tmp/tess_6mykaz2z b/_tess_tmp/tess_6mykaz2z
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_6mykaz2z.txt b/_tess_tmp/tess_6mykaz2z.txt
new file mode 100644
index 0000000..c14da0d
--- /dev/null
+++ b/_tess_tmp/tess_6mykaz2z.txt
@@ -0,0 +1,19 @@
+Beso a6 JUS 44 D0dH Sowb 88,
+Brto & So 316% addo Gkcd HO
+Bao. DyS SoYor LOHR asyg
+adder 268A visio Sty sodasod.
+nddo woo BASS PSGe. axspes
+088 Ch Be Exons 408. Be &%5y0
+& Ad'yo Sodd der doemodd ws
+SF DeogS wOsrcoen, SS'yoeo seRe, Ja
+Exo FF TOs SENG Oy Ge
+Bosses’ SEHSp wie Depo
+worth, GE%roe bg IHS SHS dows
+Daw. CAS ariglo, Sqvoosso Sve
+Gigas Avfor 26A08. word 068 dake
+Seren Tverd) soci. ctormsivrarshy
+Sen Soda srensioreron. 08% dor
+Son sds wad dciiowop syrorer
+Shobayws. Gawss* arvigo adordsoors
+Gos Ad Ser%o mObo2% SSO.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_6mykaz2z_input.PNG b/_tess_tmp/tess_6mykaz2z_input.PNG
new file mode 100644
index 0000000..da8f545
Binary files /dev/null and b/_tess_tmp/tess_6mykaz2z_input.PNG differ
diff --git a/_tess_tmp/tess_71zcinaf b/_tess_tmp/tess_71zcinaf
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_71zcinaf.txt b/_tess_tmp/tess_71zcinaf.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_71zcinaf_input.PNG b/_tess_tmp/tess_71zcinaf_input.PNG
new file mode 100644
index 0000000..acb5162
Binary files /dev/null and b/_tess_tmp/tess_71zcinaf_input.PNG differ
diff --git a/_tess_tmp/tess_80f9u6zp b/_tess_tmp/tess_80f9u6zp
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_80f9u6zp.txt b/_tess_tmp/tess_80f9u6zp.txt
new file mode 100644
index 0000000..4f6f9ed
--- /dev/null
+++ b/_tess_tmp/tess_80f9u6zp.txt
@@ -0,0 +1,18 @@
+Domes: aS 81 Sov a8 sohergiar
+09-1 Sxen > eS SHH wohorres
+AaYDs LEcho BSO Somods wosrds
+0% Slows. LosoosN dorfoss
+(rm IPHS‘O HOB wrasro AQ So 25
+BOSD OH-1 SoSH Poy Sarows
+Hor¥ardo wowten, woeryé, Gere’
+BOS? KO SOMO. wPSosirWorr
+aWiOeyy Sop sUliro SYodme. se
+QAS Show SoHE dor Sosio<sA
+dD dor OH Saw, SoH SI ssxrer
+Aniioo BSSiipd SFE Doyo ds
+ePOO BOawar? wd whswhox Shor
+&. ang 81 Sot HpQsd vi Sowsrooes
+Dems, Sd% shoviero Geo ay
+At wododosst Agorr somod ways.
+‘tm Geet, we “Bie: Remene. esi
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_80f9u6zp_input.PNG b/_tess_tmp/tess_80f9u6zp_input.PNG
new file mode 100644
index 0000000..6703469
Binary files /dev/null and b/_tess_tmp/tess_80f9u6zp_input.PNG differ
diff --git a/_tess_tmp/tess_9i1jq4ca b/_tess_tmp/tess_9i1jq4ca
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_9i1jq4ca.txt b/_tess_tmp/tess_9i1jq4ca.txt
new file mode 100644
index 0000000..dc1bf58
--- /dev/null
+++ b/_tess_tmp/tess_9i1jq4ca.txt
@@ -0,0 +1,19 @@
+Sorisarote: SONS Srsowird dir
+wdho OY Siro Sho vbsrthen Go
+wy GS ONSey BOB. donBI*G
+oped wostren adie Stgods
+DRaho BORod. ak DoxRebo sod by
+G0dS GSS FONE DoF, HAtyeo Dory»,
+ProreosD Aor BOAS Swydrcen,
+RES BL FORH, Divwr pasos aided
+SEfoh wOwrcre Berk Ago dasep
+Seirardo. 180 Sars! sorgsties wxosoe
+©, BRAS Sbxfeo Ntglrodocss Bots
+BrHoxood SSarigen Syoxsew BOLO
+8. wr Goss armen Sorl¥arwo &
+Ahoo AKowo Sk O50 waisr¥o 6%)
+ey BSrardo. Bots 2S sossoWo 5
+Kotor PSE darosoiiyee Seord¥od. Sao
+oO S8orsed woerss 180 See’ wh
+DO dxoen Grd JasD) dotwod.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_9i1jq4ca_input.PNG b/_tess_tmp/tess_9i1jq4ca_input.PNG
new file mode 100644
index 0000000..e787aed
Binary files /dev/null and b/_tess_tmp/tess_9i1jq4ca_input.PNG differ
diff --git a/_tess_tmp/tess_9zp3bsdi b/_tess_tmp/tess_9zp3bsdi
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_9zp3bsdi.txt b/_tess_tmp/tess_9zp3bsdi.txt
new file mode 100644
index 0000000..ba68ceb
--- /dev/null
+++ b/_tess_tmp/tess_9zp3bsdi.txt
@@ -0,0 +1,15 @@
+eairresse: GtargSorr wS goat SOx
+O(BELE SHen) noh Adggos* eer
+EF a0 wSpSE6 Hotho Kee
+Atndod wosorao Soros Seen
+BSQSey Ae GH aSmyS eroHy
+or¥ardo af Goss Bare. vB
+$6 S0bS OSrS Gr wdwro Swe
+QED Od) ELE ariho ctreesivars
+08 VSSIGS Sriven orb Srday
+&, SSS SOHBE Horo oases
+SomoGod dewSoss sayotoen decoy
+a Sod 5 & Soe : 1800 425 660,
+(GA aStysF 9849634754, 8333925867
+Somse® Sosdorroarter.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_9zp3bsdi_input.PNG b/_tess_tmp/tess_9zp3bsdi_input.PNG
new file mode 100644
index 0000000..d1d20bc
Binary files /dev/null and b/_tess_tmp/tess_9zp3bsdi_input.PNG differ
diff --git a/_tess_tmp/tess_c6dtmfjx b/_tess_tmp/tess_c6dtmfjx
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_c6dtmfjx.txt b/_tess_tmp/tess_c6dtmfjx.txt
new file mode 100644
index 0000000..e9a6132
--- /dev/null
+++ b/_tess_tmp/tess_c6dtmfjx.txt
@@ -0,0 +1,22 @@
+ih So Sera growEs HOSKLOS® IS
+82 Darga’ vod a0s8ses doar DXyrr
+SoH Sty BS PSY, Sgivartraroes
+G5 Somys vewoeir SHS sQarcs
+erahod® SOD Saxe ESSo Shorwr&.
+SYE0 SQ vewd'iGos HO So
+BAS LOMTo SSCS? Siro SS S08 HS
+eo diy DSBS SS HOO ESHNAz
+Seryh. 62°} Sth Stow pSo Tare.
+ae dour Sobfeo So 6) dx
+OWES SHHT-D0008. bod 2,066
+wows SEro SS Koray SS® artowho
+tap aeosnobd HAwaryo. S8 Get
+Spo Mol Hows SHS Ss dirwo
+SOSSdo SIO Drv S5 SHS Lo6* SoHE
+Sey Seti Sq Aor rar orstlo SA
+bdSeg SS dtxhea Shorr Srd0so 55 wd
+8855 Spo Sarto, Sow 56% an 2.0638
+SS SEs SSorr wBS dao wobor
+SoS? dren Hrh Kwo wo80 wok
+ethSarod JHoHoewarrey.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_c6dtmfjx_input.PNG b/_tess_tmp/tess_c6dtmfjx_input.PNG
new file mode 100644
index 0000000..65f39c9
Binary files /dev/null and b/_tess_tmp/tess_c6dtmfjx_input.PNG differ
diff --git a/_tess_tmp/tess_jeq7wjrf b/_tess_tmp/tess_jeq7wjrf
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_jeq7wjrf.txt b/_tess_tmp/tess_jeq7wjrf.txt
new file mode 100644
index 0000000..58d10c5
--- /dev/null
+++ b/_tess_tmp/tess_jeq7wjrf.txt
@@ -0,0 +1,12 @@
+BS: GSS Sel Ste (ohowS)
+Srghoh SES wQos*s eer wpideSo
+& NODA. 2025 ws8 LeeS* Snifo Tox
+©%8 S0508 ZHf6* ToXoT09 s0A8
+SeghoF SQ erp, 90.59 wo Karciws
+8008. 20m 72,194 0 LY soshoh
+wokofire 408. warshdS(SgE ssp
+espe) Soms 2,33,75 Tre, 31.93 wdor
+608. vert & 3018 5 d45* HOR ay
+Segboh SOB 3.214 Sow wonsen
+weberthen BDar%.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_jeq7wjrf_input.PNG b/_tess_tmp/tess_jeq7wjrf_input.PNG
new file mode 100644
index 0000000..aa6f326
Binary files /dev/null and b/_tess_tmp/tess_jeq7wjrf_input.PNG differ
diff --git a/_tess_tmp/tess_vntxia8b b/_tess_tmp/tess_vntxia8b
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_vntxia8b_input.PNG b/_tess_tmp/tess_vntxia8b_input.PNG
new file mode 100644
index 0000000..66133eb
Binary files /dev/null and b/_tess_tmp/tess_vntxia8b_input.PNG differ
diff --git a/_tess_tmp/tess_xtpd07x4 b/_tess_tmp/tess_xtpd07x4
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_xtpd07x4.txt b/_tess_tmp/tess_xtpd07x4.txt
new file mode 100644
index 0000000..c14da0d
--- /dev/null
+++ b/_tess_tmp/tess_xtpd07x4.txt
@@ -0,0 +1,19 @@
+Beso a6 JUS 44 D0dH Sowb 88,
+Brto & So 316% addo Gkcd HO
+Bao. DyS SoYor LOHR asyg
+adder 268A visio Sty sodasod.
+nddo woo BASS PSGe. axspes
+088 Ch Be Exons 408. Be &%5y0
+& Ad'yo Sodd der doemodd ws
+SF DeogS wOsrcoen, SS'yoeo seRe, Ja
+Exo FF TOs SENG Oy Ge
+Bosses’ SEHSp wie Depo
+worth, GE%roe bg IHS SHS dows
+Daw. CAS ariglo, Sqvoosso Sve
+Gigas Avfor 26A08. word 068 dake
+Seren Tverd) soci. ctormsivrarshy
+Sen Soda srensioreron. 08% dor
+Son sds wad dciiowop syrorer
+Shobayws. Gawss* arvigo adordsoors
+Gos Ad Ser%o mObo2% SSO.
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_xtpd07x4_input.PNG b/_tess_tmp/tess_xtpd07x4_input.PNG
new file mode 100644
index 0000000..da8f545
Binary files /dev/null and b/_tess_tmp/tess_xtpd07x4_input.PNG differ
diff --git a/_tess_tmp/tess_y1ifxzug b/_tess_tmp/tess_y1ifxzug
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_y1ifxzug.txt b/_tess_tmp/tess_y1ifxzug.txt
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_y1ifxzug_input.PNG b/_tess_tmp/tess_y1ifxzug_input.PNG
new file mode 100644
index 0000000..cd1daf6
Binary files /dev/null and b/_tess_tmp/tess_y1ifxzug_input.PNG differ
diff --git a/_tess_tmp/tess_yjmcltlx b/_tess_tmp/tess_yjmcltlx
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_yjmcltlx.txt b/_tess_tmp/tess_yjmcltlx.txt
new file mode 100644
index 0000000..a9e48f5
--- /dev/null
+++ b/_tess_tmp/tess_yjmcltlx.txt
@@ -0,0 +1,22 @@
+EPs¥eagHO: 20S EayDHE Sharow6
+Soo waren Soro arengahss Sick
+Pros Bob, Sor¥arto Soxspyeho
+HQQ waren Soro srengsAs O64
+Brome. AS ampPMSH, eHYodd orp
+DW (warySwen) 49 S08 arengcd
+RS GES? Sr-Epomaye. asyé
+ARH Ux PosE'N Geog ano
+OE Yormro dx 5 srexcdys sosorr
+408. EQ) SBhoo VOD Se syowSes
+88,512 aarmdieren seronomres.
+BrSSGIE BOAR, fro SBQOo HVE
+-1, 588-2 Bbxo aarandioren vert
+SryG), POSE PH OSG 1 OH 2
+RareD BErO Srengadas Adgerose
+yey woh whN5, dows o.AHS,
+DAL aS85-1 SdaSorgy BDI. Bo
+& SIS $2), dvwark), wrod, a
+mod, Bh, srw05), Hb SZQo Os
+5A, 555-2 waren Siero wroyabss
+EB 24 S009 DScProSSo.ar._
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_yjmcltlx_input.PNG b/_tess_tmp/tess_yjmcltlx_input.PNG
new file mode 100644
index 0000000..558efaa
Binary files /dev/null and b/_tess_tmp/tess_yjmcltlx_input.PNG differ
diff --git a/_tess_tmp/tess_ywvsl99l b/_tess_tmp/tess_ywvsl99l
new file mode 100644
index 0000000..e69de29
diff --git a/_tess_tmp/tess_ywvsl99l.txt b/_tess_tmp/tess_ywvsl99l.txt
new file mode 100644
index 0000000..4f6f9ed
--- /dev/null
+++ b/_tess_tmp/tess_ywvsl99l.txt
@@ -0,0 +1,18 @@
+Domes: aS 81 Sov a8 sohergiar
+09-1 Sxen > eS SHH wohorres
+AaYDs LEcho BSO Somods wosrds
+0% Slows. LosoosN dorfoss
+(rm IPHS‘O HOB wrasro AQ So 25
+BOSD OH-1 SoSH Poy Sarows
+Hor¥ardo wowten, woeryé, Gere’
+BOS? KO SOMO. wPSosirWorr
+aWiOeyy Sop sUliro SYodme. se
+QAS Show SoHE dor Sosio<sA
+dD dor OH Saw, SoH SI ssxrer
+Aniioo BSSiipd SFE Doyo ds
+ePOO BOawar? wd whswhox Shor
+&. ang 81 Sot HpQsd vi Sowsrooes
+Dems, Sd% shoviero Geo ay
+At wododosst Agorr somod ways.
+‘tm Geet, we “Bie: Remene. esi
+
\ No newline at end of file
diff --git a/_tess_tmp/tess_ywvsl99l_input.PNG b/_tess_tmp/tess_ywvsl99l_input.PNG
new file mode 100644
index 0000000..6703469
Binary files /dev/null and b/_tess_tmp/tess_ywvsl99l_input.PNG differ
diff --git a/_testall.txt b/_testall.txt
new file mode 100644
index 0000000..b1ee31a
--- /dev/null
+++ b/_testall.txt
@@ -0,0 +1,40 @@
+
+=== Andhra Jyothi_Siddipet District_20260602_20260604_125031  [andhra_jyothi] ===
+  pg1: 12 blocks | 9 datelines | H-seps kept=5 | 2+dl=[]
+  pg2: 18 blocks | 18 datelines | H-seps kept=14 | 2+dl=[]
+  pg3: 14 blocks | 7 datelines | H-seps kept=8 | 2+dl=[]
+  pg4: 20 blocks | 17 datelines | H-seps kept=14 | 2+dl=[]
+
+=== Andhra Jyothi_Siddipet District_20260602_20260604_151116  [andhra_jyothi] ===
+  pg1: 12 blocks | 9 datelines | H-seps kept=5 | 2+dl=[]
+  pg2: 18 blocks | 18 datelines | H-seps kept=14 | 2+dl=[]
+  pg3: 14 blocks | 7 datelines | H-seps kept=8 | 2+dl=[]
+  pg4: 20 blocks | 17 datelines | H-seps kept=14 | 2+dl=[]
+
+=== AndhraJyothi_Siddipet District_20260602_20260603_144919  [andhra_jyothi] ===
+  pg1: 12 blocks | 9 datelines | H-seps kept=5 | 2+dl=[]
+  pg2: 18 blocks | 18 datelines | H-seps kept=14 | 2+dl=[]
+  pg3: 14 blocks | 7 datelines | H-seps kept=8 | 2+dl=[]
+  pg4: 20 blocks | 17 datelines | H-seps kept=14 | 2+dl=[]
+
+=== NamastheTelangana_Jangaon_20260520_20260608_124720  [namaste_telangana] ===
+  pg1: 7 blocks | 6 datelines | H-seps kept=10 | 2+dl=[]
+  pg2: 12 blocks | 16 datelines | H-seps kept=17 | 2+dl=[65, 64]
+
+=== NamastheTelangana_Siddipet_20260602_20260604_182203  [namaste_telangana] ===
+  pg1: 11 blocks | 10 datelines | H-seps kept=19 | 2+dl=[]
+  pg2: 22 blocks | 21 datelines | H-seps kept=40 | 2+dl=[110, 127]
+  pg3: 19 blocks | 20 datelines | H-seps kept=22 | 2+dl=[54, 60, 62]
+  pg4: 25 blocks | 24 datelines | H-seps kept=38 | 2+dl=[67, 121]
+
+=== NamastheTelangana_Siddipet_20260602_20260604_214937  [namaste_telangana] ===
+  pg1: 11 blocks | 10 datelines | H-seps kept=19 | 2+dl=[]
+  pg2: 22 blocks | 21 datelines | H-seps kept=40 | 2+dl=[110, 127]
+  pg3: 19 blocks | 20 datelines | H-seps kept=22 | 2+dl=[54, 60, 62]
+  pg4: 25 blocks | 24 datelines | H-seps kept=38 | 2+dl=[67, 121]
+
+=== NamastheTelangana_Siddipet_20260602_20260609_100246  [namaste_telangana] ===
+  pg1: 11 blocks | 10 datelines | H-seps kept=19 | 2+dl=[]
+  pg2: 22 blocks | 21 datelines | H-seps kept=40 | 2+dl=[110, 127]
+  pg3: 19 blocks | 20 datelines | H-seps kept=22 | 2+dl=[54, 60, 62]
+  pg4: 25 blocks | 24 datelines | H-seps kept=37 | 2+dl=[64, 121]
diff --git a/_testcls.txt b/_testcls.txt
new file mode 100644
index 0000000..e69de29
diff --git a/requirements.txt b/requirements.txt
index b42a3c4..0d1e398 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,4 +6,3 @@ paddleocr==3.5.0
 paddlepaddle==3.0.0
 pytesseract>=0.3.10
 anthropic>=0.40
-surya-ocr>=0.5.0
diff --git a/scratch_py/_blocks_snapshot.py b/scratch_py/_blocks_snapshot.py
new file mode 100644
index 0000000..4edc24f
--- /dev/null
+++ b/scratch_py/_blocks_snapshot.py
@@ -0,0 +1,21 @@
+import sys, json, contextlib, io
+sys.path.insert(0, ".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+D = Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
+out={}
+for pg in (1,2,3,4):
+    png=D/f"page_{pg:03d}.png"
+    regs=json.loads((D/f"page_{pg:03d}.regions.json").read_text())["regions"]
+    with contextlib.redirect_stdout(io.StringIO()):
+        regs=se.drop_masthead_regions(regs,"andhra_jyothi",pg,png)
+        ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+        bars=separator_barriers(str(png),regs)
+        bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    out[pg]={b["anchor_id"]:[b["kind"],tuple(sorted(b["members"]))] for b in bl}
+tag=sys.argv[1] if len(sys.argv)>1 else "base"
+Path(f"scratch_py/_snap_{tag}.json").write_text(json.dumps(out,indent=0))
+print(f"saved _snap_{tag}.json")
+for pg in (1,2,3,4):
+    print(f"PAGE{pg}: {len(out[pg])} blocks  anchors={sorted(out[pg])}")
diff --git a/scratch_py/_boundaries.py b/scratch_py/_boundaries.py
new file mode 100644
index 0000000..796d1ea
--- /dev/null
+++ b/scratch_py/_boundaries.py
@@ -0,0 +1,204 @@
+"""Construct one boundary box per article by fusing three signals:
+
+  1. DATELINE pattern  -> the MINIMUM set of articles (one per '<town>, date:').
+  2. HEADLINE above    -> the article's top anchor / column span (doc_title).
+  3. STRAIGHT RULES    -> hard walls: snap top/bottom to horizontal rules and
+                          left/right to vertical rules between stories.
+
+Pure geometry on saved fixtures + the page PNG. No Claude, no API.
+
+construct_boundaries(regions, datelines, lines, size) -> list of:
+    {region_id, dateline, headline_region, bbox:[l,t,r,b], walls:{...}}
+"""
+
+
+def _cx(b):
+    return (b[0] + b[2]) / 2
+
+
+def construct_boundaries(regions, datelines, lines, size):
+    W, H = size
+    rmap = {r["id"]: r for r in regions}
+    h_rules = sorted(lines["h"], key=lambda L: L["y1"])
+    v_rules = sorted(lines["v"], key=lambda L: L["x1"])
+    dls = sorted(datelines, key=lambda s: s["bbox"][1])
+
+    # ---- duplicate-dateline dedup: PaddleOCR sometimes boxes the SAME physical text
+    # twice (and a false dateline match — an ad/phone line — then appears as two
+    # near-identical bodies). Two datelines are one article when EITHER their bodies
+    # overlap heavily (IoU>0.6) OR one body is mostly nested inside the other AND the
+    # dateline text is identical (the same town double-boxed as a thin line + a tall
+    # paragraph — IoU stays low but containment is near 1). Keep the larger body and
+    # inherit a headline from the dropped twin if the keeper had none.
+    def _area(b):
+        return (b[2]-b[0]) * (b[3]-b[1])
+
+    def _same_dateline(sa, sb):
+        a, b = sa["bbox"], sb["bbox"]
+        ix = max(0, min(a[2], b[2]) - max(a[0], b[0]))
+        iy = max(0, min(a[3], b[3]) - max(a[1], b[1]))
+        inter = ix * iy
+        if not inter:
+            return False
+        aa, ba = _area(a), _area(b)
+        iou = inter / (aa + ba - inter) if (aa + ba - inter) else 0.0
+        if iou > 0.6:
+            return True
+        contain = inter / min(aa, ba) if min(aa, ba) else 0.0
+        ta = (sa.get("dateline") or "").strip()
+        tb = (sb.get("dateline") or "").strip()
+        return contain > 0.8 and ta != "" and ta == tb
+
+    deduped = []
+    for s in dls:
+        dup = next((k for k in deduped if _same_dateline(s, k)), None)
+        if dup is None:
+            deduped.append(s)
+        else:                       # keep larger body; inherit a missing headline
+            keep, drop = (s, dup) if _area(s["bbox"]) > _area(dup["bbox"]) else (dup, s)
+            if keep.get("headline_region") not in rmap and drop.get("headline_region") in rmap:
+                keep = {**keep, "headline_region": drop["headline_region"]}
+            deduped[deduped.index(dup)] = keep
+    dls = deduped
+
+    # ---- shared-headline dedup: a doc_title can only head ONE article. When two
+    # datelines both matched the same headline (stacked in a column, or a 2-col
+    # headline with a missed neighbour), keep it for the dateline with the SMALLEST
+    # positive gap below the headline; the others lose it (anchor on their own body).
+    by_hl = {}
+    for s in dls:
+        h = s.get("headline_region")
+        if h in rmap:
+            by_hl.setdefault(h, []).append(s)
+    hid_of = {id(s): s.get("headline_region") for s in dls}
+    for h, group in by_hl.items():
+        if len(group) <= 1:
+            continue
+        hb = rmap[h]["bbox"]
+        below = [s for s in group if s["bbox"][1] >= hb[3] - 30]
+        keeper = min(below, key=lambda s: s["bbox"][1] - hb[3]) if below \
+            else min(group, key=lambda s: abs(s["bbox"][1] - hb[3]))
+        for s in group:
+            if s is not keeper:
+                hid_of[id(s)] = None
+
+    def _anchor_rect(ns):
+        """A neighbour's article ANCHOR = its headline (if it owns one) UNION its
+        dateline body. Floors are computed against this rect — not the bare body —
+        so a story ends at the TOP of the next story's HEADLINE, and a wide 2-column
+        headline that reaches sideways into this column still acts as a wall."""
+        b = ns["bbox"]
+        h = hid_of.get(id(ns))
+        if h in rmap:
+            hb = rmap[h]["bbox"]
+            return (min(b[0], hb[0]), min(b[1], hb[1]),
+                    max(b[2], hb[2]), max(b[3], hb[3]))
+        return (b[0], b[1], b[2], b[3])
+
+    def _covers(L, y0, y1):
+        # the rule must span the MAJORITY of [y0,y1], not merely touch an edge
+        ov = min(L["y2"], y1) - max(L["y1"], y0)
+        return ov >= 0.5 * max(1, y1 - y0)
+
+    def vwall_left(cx, y0, y1):
+        cands = [L for L in v_rules if L["x1"] < cx - 20 and _covers(L, y0, y1)]
+        return max((L["x1"] for L in cands), default=0)
+
+    def vwall_right(cx, y0, y1):
+        cands = [L for L in v_rules if L["x1"] > cx + 20 and _covers(L, y0, y1)]
+        return min((L["x1"] for L in cands), default=W)
+
+    def hrule_between(x0, x1, y_lo, y_hi, want_above):
+        """Return the horizontal rule whose span covers [x0,x1] within (y_lo,y_hi).
+        want_above=True -> the LOWEST such rule (closest above the body's top is the
+        bottom-most of those above); we pick nearest to the reference edge."""
+        hits = [L for L in h_rules
+                if L["y1"] > y_lo and L["y1"] < y_hi
+                and L["x1"] <= x1 - 30 and L["x2"] >= x0 + 30]
+        if not hits:
+            return None
+        # nearest to the reference edge: above -> max y (closest below ceiling ref),
+        # below -> min y (closest above floor ref)
+        return max(hits, key=lambda L: L["y1"]) if want_above \
+            else min(hits, key=lambda L: L["y1"])
+
+    out = []
+    for i, s in enumerate(dls):
+        db = s["bbox"]
+        cx = _cx(db)
+        hid = hid_of[id(s)]
+        hb = rmap[hid]["bbox"] if (hid in rmap) else None
+
+        # ---- horizontal span: UNION of headline + dateline body so the body is
+        #      always contained; top anchor is the headline top if present.
+        if hb:
+            left0, right0 = min(hb[0], db[0]), max(hb[2], db[2])
+            top_anchor = hb[1]
+        else:
+            left0, right0 = db[0], db[2]
+            top_anchor = db[1]
+
+        # ---- CEILING: snap up to a horizontal rule just above the anchor (but no
+        #      higher than the previous article's dateline in this column).
+        prev_y = 0
+        for ps in dls:
+            if ps is s:
+                continue
+            pb = ps["bbox"]
+            if pb[0] - 40 <= cx <= pb[2] + 40 and pb[3] <= top_anchor:
+                prev_y = max(prev_y, pb[3])
+        ceil_rule = hrule_between(left0, right0, prev_y, top_anchor + 20, want_above=True)
+        # a ceiling rule only counts if it sits a sane distance ABOVE the anchor
+        # (a far-away rule is a different story's divider, not this article's top).
+        top = top_anchor
+        if ceil_rule and 0 <= (top_anchor - ceil_rule["y1"]) <= 500:
+            top = ceil_rule["y1"]
+        else:
+            ceil_rule = None
+        top = min(top, top_anchor)            # never cut INTO the article from above
+
+        # ---- FLOOR: nearest boundary directly below in THIS dateline's OWN column
+        #      (own column, not the wide headline span — a neighbour under a 2-col
+        #      headline must clip the SIDE, not act as the floor).
+        own_l, own_r = db[0], db[2]
+        next_y = H
+        for ns in dls:
+            if ns is s:
+                continue
+            na = _anchor_rect(ns)                       # headline ∪ body of neighbour
+            if na[1] > db[1] + 30 and not (na[2] < own_l + 20 or na[0] > own_r - 20):
+                next_y = min(next_y, na[1])
+        floor_rule = hrule_between(own_l, own_r, db[3], next_y + 5, want_above=False)
+        bottom = floor_rule["y1"] if floor_rule else next_y
+        bottom = max(bottom, db[3])           # never cut INTO the article from below
+
+        # ---- SIDE-CLIP: a neighbour dateline that sits beside this body within the
+        #      (wide) headline span clips the corresponding edge, so a left-column
+        #      story never swallows the right column's separate story.
+        for ns in dls:
+            if ns is s:
+                continue
+            nb = ns["bbox"]
+            if nb[3] > top_anchor + 20 and nb[1] < bottom - 20:   # vertical overlap
+                if own_r - 10 <= nb[0] < right0:                  # neighbour to the right
+                    right0 = min(right0, nb[0])
+                if left0 < nb[2] <= own_l + 10:                   # neighbour to the left
+                    left0 = max(left0, nb[2])
+
+        # ---- side walls: snap to vertical rules spanning the article's y-band
+        lwall = vwall_left(cx, top, bottom)
+        rwall = vwall_right(cx, top, bottom)
+        left = max(left0 - 20, lwall)
+        right = min(right0 + 20, rwall)
+        left = min(left, db[0])               # guarantee the dateline body fits
+        right = max(right, db[2])
+
+        out.append({
+            "region_id": s["region_id"],
+            "dateline": s.get("dateline", ""),
+            "headline_region": hid,
+            "bbox": [int(left), int(top), int(right), int(bottom)],
+            "walls": {"ceil_rule": bool(ceil_rule), "floor_rule": bool(floor_rule),
+                      "lwall": int(lwall), "rwall": int(rwall)},
+        })
+    return out
diff --git a/scratch_py/_continuation.py b/scratch_py/_continuation.py
new file mode 100644
index 0000000..0a945ab
--- /dev/null
+++ b/scratch_py/_continuation.py
@@ -0,0 +1,462 @@
+"""Cross-page article-continuation linker (classical, no Claude / no API).
+
+Telugu papers "jump" long stories across pages:
+
+  • bottom of the source article :  'మిగతా <N>వ పేజీలో...'   (rest is on page N)
+  • top of the continuation page  :  the SAME headline repeated, plus the marker
+                                     '(మొదటి పేజీ తరువాయి)'   (continued from page 1)
+
+We REQUIRE BOTH signals: the jump-from marker on the source page (which also tells
+us the target page N) AND a repeated headline on page N that matches the source
+article's headline. We then build a boundary box for the continuation by injecting
+a SYNTHETIC dateline anchored on that repeated headline and running the existing
+boundary engine (so the continuation floors correctly against page-N's own
+articles), and finally STITCH the source crop + continuation crop into ONE tall
+image per article.
+
+Pure geometry + Tesseract on saved fixtures (page PNGs + regions.json + the
+per-article info.json the pipeline already wrote). No Claude.
+
+    link_continuations(run_dir) -> list of link records (also written to
+        <run>/continuations/links.json, stitched PNGs alongside).
+"""
+import difflib
+import json
+import re
+import unicodedata
+from pathlib import Path
+
+from PIL import Image
+
+from _lines import detect_separator_lines
+
+try:
+    from smart_extractor import _dateline_in_text
+except Exception:                       # keep the module importable in isolation
+    def _dateline_in_text(_t, _paper=None):
+        return None
+
+_ZW = "‌‍"                       # zero-width non-joiner / joiner
+_TERMINATORS = ".।?!"            # sentence-enders: full stop, danda, ?, !
+_TELUGU_DIGITS = {ord("౦") + i: str(i) for i in range(10)}
+
+# jump-FROM: 'మిగతా <num> వ పేజీ...' — tolerate OCR noise between the tokens.
+_JUMP_FROM = re.compile(r"మిగ[తథధ]ా.{0,10}?([0-9౦-౯]{1,2})\s*వ?\s*పే[జీిౌ]", re.UNICODE)
+# jump-TO: 'మొదటి పేజీ తరువాయి' — the continuation marker on the target page.
+_JUMP_TO = re.compile(r"మొదట[ిి]?\s*పే[జీి].{0,6}?తరు[వ]?ా[యి]", re.UNICODE)
+
+
+def _paper_of_height(h):
+    if 7040 <= h <= 7060:
+        return "sakshi"
+    if h in (6833, 6549):
+        return "andhra_jyothi"
+    if h == 6422:
+        return "namaste_telangana"
+    return f"h{h}"
+
+
+def _ocr(page, box):
+    import pytesseract
+    try:
+        return pytesseract.image_to_string(page.crop((int(box[0]), int(box[1]),
+                                                       int(box[2]), int(box[3]))),
+                                            lang="tel")
+    except Exception:
+        return ""
+
+
+def _page_num_from(text):
+    m = _JUMP_FROM.search(text or "")
+    if not m:
+        return None
+    digits = m.group(1).translate(_TELUGU_DIGITS)
+    dm = re.search(r"\d+", digits)
+    if not dm:
+        return None
+    d = dm.group()
+    # OCR frequently DOUBLE-RECOGNISES a single glyph as the Latin digit followed
+    # by its Telugu twin (e.g. '3౩' → '33'). District editions only ever run a
+    # handful of pages, so a run of identical digits is that artefact, not page 33.
+    if len(d) == 2 and d[0] == d[1]:
+        d = d[0]
+    return int(d)
+
+
+def _norm(s):
+    s = unicodedata.normalize("NFC", s or "")
+    s = "".join(c for c in s if c not in _ZW)
+    return re.sub(r"[\s.,!?:;\-()।\"'‘’]", "", s)
+
+
+def _similar(a, b):
+    a, b = _norm(a), _norm(b)
+    if not a or not b:
+        return 0.0
+    return difflib.SequenceMatcher(None, a, b).ratio()
+
+
+def _find_jump_from(page, art_bbox):
+    """Scan the BOTTOM band of the source article for the 'మిగతా Nవ పేజీలో' marker;
+    fall back to the whole article box. Returns the target page number or None."""
+    l, t, r, b = art_bbox
+    band_top = max(t, b - 340)
+    n = _page_num_from(_ocr(page, (l, band_top, r, b)))
+    if n is None:                                   # marker may sit a little higher
+        n = _page_num_from(_ocr(page, (l, t, r, b)))
+    return n
+
+
+def _best_headline(regs, page, headline_tel, thresh=0.60):
+    """Among the doc_titles on the target page, return (region, score, has_marker)
+    for the one whose OCR text best matches the source headline (>= thresh)."""
+    best, best_score = None, 0.0
+    for r in regs:
+        if r.get("type") != "doc_title":
+            continue
+        score = _similar(_ocr(page, r["bbox"]), headline_tel)
+        if score > best_score:
+            best, best_score = r, score
+    if not best or best_score < thresh:
+        return None, best_score, False
+    hb = best["bbox"]
+    below = _ocr(page, (hb[0], hb[3], hb[2], min(hb[3] + 240, page.height)))
+    has_marker = bool(_JUMP_TO.search(below) or _JUMP_TO.search(_ocr(page, hb)))
+    return best, best_score, has_marker
+
+
+def _ends_terminated(text):
+    """True if the column's last word ends a sentence (., danda, ?, !), ignoring
+    trailing quotes/brackets. This is the (noisy, OCR-based) 'article concluded'
+    signal — used only AFTER the structural stop-tests have had their say."""
+    t = (text or "").rstrip()
+    t = t.rstrip("\"'’”)］]》」』 ")
+    return bool(t) and t[-1] in _TERMINATORS
+
+
+def _col_width(regs):
+    """Robust single-column width = median width of the page's text boxes."""
+    ws = sorted(r["bbox"][2] - r["bbox"][0] for r in regs if r.get("type") == "text")
+    return ws[len(ws) // 2] if ws else 700
+
+
+def _has_body_below(regs, b):
+    """True if a text box sits below box `b` within its horizontal span — i.e. `b`
+    is a headline opening its OWN article (a new story), not a trailing label or an
+    inline emphasis run. Used to let a paragraph_title act as an article floor."""
+    for r in regs:
+        if r.get("type") == "text":
+            rb = r["bbox"]
+            if rb[1] > b[1] + 5 and rb[0] < b[2] and rb[2] > b[0]:
+                return True
+    return False
+
+
+def _is_floor_head(regs, r, hid):
+    """A region that floors a continuation: any doc_title, OR a paragraph_title that
+    has its own body beneath it (the start of a DIFFERENT article — e.g. a
+    'continued from page N' sub-head sitting below our continuation block)."""
+    if r.get("id") == hid:
+        return False
+    t = r.get("type")
+    if t == "doc_title":
+        return True
+    return t == "paragraph_title" and _has_body_below(regs, r["bbox"])
+
+
+def _floor_under(regs, lines, hb, hid, x0, x1, H):
+    """Lowest boundary below the header within the corridor [x0,x1]: the top of the
+    next headline (doc_title, or an article-starting paragraph_title), or a
+    horizontal rule, whichever comes first (else page bottom)."""
+    f = H
+    for r in regs:
+        b = r["bbox"]
+        if (_is_floor_head(regs, r, hid)
+                and b[1] > hb[3] + 20 and b[0] < x1 and b[2] > x0):
+            f = min(f, b[1])
+    for ln in (lines.get("h") or []):
+        y = ln["y1"]
+        if hb[3] + 20 < y < f and ln["x1"] < x1 and ln["x2"] > x0:
+            f = min(f, y)
+    return f
+
+
+def _floor_below_body(regs, lines, hb, hid, x0, x1, body, H):
+    """Lowest article boundary in corridor [x0,x1]. A next-headline or horizontal
+    rule only counts as the floor when NO included body text continues *below* it in
+    an overlapping column — that distinguishes the next article's wide headline (no
+    body beneath, within this block) from an interior sub-head / column-top rule
+    (article body keeps going underneath it)."""
+    def _no_body_below(bx0, bx2, yt):
+        for bb in body:
+            if bb[3] > yt + 10 and bb[0] < bx2 and bb[2] > bx0:
+                return False
+        return True
+
+    f = H
+    for r in regs:
+        b = r["bbox"]
+        if (_is_floor_head(regs, r, hid)
+                and b[1] > hb[3] + 20 and b[0] < x1 and b[2] > x0
+                and _no_body_below(b[0], b[2], b[1])):
+            f = min(f, b[1])
+    for ln in (lines.get("h") or []):
+        y = ln["y1"]
+        if hb[3] + 20 < y < f and ln["x1"] < x1 and ln["x2"] > x0 \
+                and _no_body_below(ln["x1"], ln["x2"], y):
+            f = min(f, y)
+    return f
+
+
+def _vrule_in_gutter(lines, x0, x1, y0, y1):
+    """A printed vertical rule sitting in the gutter [x0,x1] across most of [y0,y1]."""
+    for ln in (lines.get("v") or []):
+        if x0 - 8 <= ln["x1"] <= x1 + 8:
+            ov = min(ln["y2"], y1) - max(ln["y1"], y0)
+            if ov > 0.4 * (y1 - y0):
+                return True
+    return False
+
+
+def _track_starts_with_title(regs, items, hb):
+    """STOP-test 5: does a headline / sub-head box open the next column?"""
+    xs = min(it["bbox"][0] for it in items)
+    xe = max(it["bbox"][2] for it in items)
+    ytop = min(it["bbox"][1] for it in items)
+    for r in regs:
+        if r.get("type") in ("doc_title", "paragraph_title"):
+            b = r["bbox"]
+            if b[0] < xe and b[2] > xs and b[1] > hb[3] + 20 and abs(b[1] - ytop) < 130:
+                return True
+    return False
+
+
+def _continuation_crop(regs, png_path, paper, headline_region):
+    """Crop the FULL continuation article by GROWING RIGHT from the headline.
+
+    A continuation's body is usually wider than its header and spans several columns.
+    We start at the header's column and walk right column-by-column, absorbing the
+    next column unless a STOP-test fires:
+
+      1 no next column            5 next column opens with a headline/sub-head
+      2 vertical-rule wall        6 current column's last word ends with a period
+      3 horizontal-rule break     7 grammatical bridge fails (approx: 4+6 absent)
+      4 next column opens a dateline
+
+    Structural tests (1-5) outrank the OCR period (6). The crop is the single
+    rectangle enclosing every absorbed column (+ any photo inside the block),
+    floored at the next headline / horizontal rule.
+
+    Returns (PIL.Image, debug_bbox) or (None, None)."""
+    page = Image.open(png_path).convert("RGB")
+    H = page.height
+    hb = headline_region["bbox"]
+    hid = headline_region.get("id")
+    cx = (hb[0] + hb[2]) / 2
+    lines = detect_separator_lines(png_path)
+    colW = _col_width(regs)
+
+    # provisional floor under the header's own span gives us the band to cluster in
+    F0 = _floor_under(regs, lines, hb, hid, hb[0], hb[2], H)
+
+    # body text boxes in the band, clustered into left-to-right COLUMN TRACKS
+    band = [r for r in regs if r.get("type") == "text"
+            and (r["bbox"][1] + r["bbox"][3]) / 2 < F0
+            and r["bbox"][3] > hb[1]
+            and r["bbox"][0] >= hb[0] - colW * 0.5]   # drop columns left of the header
+    if not band:
+        return None, None
+    tracks = []
+    for r in sorted(band, key=lambda r: r["bbox"][0]):
+        for tr in tracks:
+            if abs(r["bbox"][0] - tr["x0"]) < colW * 0.5:
+                tr["items"].append(r)
+                break
+        else:
+            tracks.append({"x0": r["bbox"][0], "items": [r]})
+    tracks.sort(key=lambda t: t["x0"])
+
+    # START column = the track straddling the headline centre (else nearest)
+    start = None
+    for i, t in enumerate(tracks):
+        if min(it["bbox"][0] for it in t["items"]) <= cx <= max(it["bbox"][2] for it in t["items"]):
+            start = i
+            break
+    if start is None:
+        start = min(range(len(tracks)), key=lambda i: abs(tracks[i]["x0"] - cx))
+
+    import os
+    DBG = os.environ.get("CONT_DEBUG")
+    if DBG:
+        print(f"[dbg] hb={hb} cx={cx} colW={colW} F0={F0}")
+        for ti, t in enumerate(tracks):
+            print(f"[dbg] track {ti} x0={t['x0']} items="
+                  + ",".join(f"{it.get('id')}{it['bbox']}" for it in t['items']))
+        print(f"[dbg] start track = {start}")
+
+    # GROW RIGHT, applying the stop-tests at each gutter
+    included = [start]
+    i = start
+    while True:
+        cur = tracks[i]["items"]
+        cur_r = max(it["bbox"][2] for it in cur)
+        nxt = next((j for j in range(i + 1, len(tracks))
+                    if tracks[j]["x0"] > cur_r - colW * 0.3), None)
+        if nxt is None:                                         # 1 no next column
+            if DBG: print(f"[dbg] from {i}: STOP test1 no next column")
+            break
+        nt = tracks[nxt]["items"]
+        nt_l = min(it["bbox"][0] for it in nt)
+        y0, y1 = hb[1], F0
+        if _vrule_in_gutter(lines, cur_r, nt_l, y0, y1):        # 2 vertical wall
+            if DBG: print(f"[dbg] from {i} to {nxt}: STOP test2 vrule wall {cur_r}-{nt_l}")
+            break
+        top_reg = min(nt, key=lambda it: it["bbox"][1])
+        tb = top_reg["bbox"]
+        head_txt = _ocr(page, (tb[0], tb[1], tb[2], min(tb[1] + 150, tb[3])))
+        if _dateline_in_text(head_txt, paper):                  # 4 dateline opens next col
+            if DBG: print(f"[dbg] from {i} to {nxt}: STOP test4 dateline '{head_txt[:40]}'")
+            break
+        if _track_starts_with_title(regs, nt, hb):              # 5 headline opens next col
+            if DBG: print(f"[dbg] from {i} to {nxt}: STOP test5 title opens next")
+            break
+        bot_reg = max(cur, key=lambda it: it["bbox"][3])
+        bot_txt = _ocr(page, bot_reg["bbox"])
+        if _ends_terminated(bot_txt):                           # 6 period concludes
+            if DBG: print(f"[dbg] from {i} to {nxt}: STOP test6 period; tail='{bot_txt[-30:]}'")
+            break
+        if DBG: print(f"[dbg] grow {i} -> {nxt}")
+        included.append(nxt)                                    # 7 bridge holds -> grow
+        i = nxt
+    if DBG: print(f"[dbg] included tracks = {included}")
+
+    # FINAL rectangle over the absorbed columns, floored against the real corridor
+    left = hb[0]
+    right = max(max(it["bbox"][2] for it in tracks[k]["items"]) for k in included)
+    body = [it["bbox"] for k in included for it in tracks[k]["items"]]
+    F = _floor_below_body(regs, lines, hb, hid, left, right, body, H)
+    if DBG: print(f"[dbg] left={left} right={right} F={F}")
+
+    members = list(body)
+    for r in regs:                       # sweep in photos / captions inside the block
+        if r.get("type") in ("image", "figure_title", "paragraph_title", "doc_title"):
+            b = r["bbox"]
+            bcx = (b[0] + b[2]) / 2
+            if left - 10 <= bcx <= right + 10 and b[3] <= F and b[3] > hb[1] - 320:
+                members.append(b)
+
+    left = min(left, min(m[0] for m in members))
+    top = min(hb[1], min(m[1] for m in members))
+    bot = min(int(F) - 8, max(m[3] for m in members) + 22)
+    box = (int(left), int(max(0, top - 6)), int(right), int(bot))
+    return page.crop(box), list(box)
+
+
+def _stitch(top_png, cont_img, out_path):
+    """Stack the source page-1 crop above the composed continuation image."""
+    top = Image.open(top_png).convert("RGB")
+    W = max(top.width, cont_img.width)
+    sep = 18
+    combo = Image.new("RGB", (W, top.height + sep + cont_img.height), "white")
+    combo.paste(top, (0, 0))
+    combo.paste(cont_img, (0, top.height + sep))
+    combo.save(out_path)
+    return combo.size
+
+
+def link_continuations(run_dir, out_dir=None, match_thresh=0.60, verbose=True):
+    run = Path(run_dir)
+    pages_dir = run / "pages"
+    arts_dir = run / "articles"
+    out_dir = Path(out_dir) if out_dir else (run / "continuations")
+    out_dir.mkdir(parents=True, exist_ok=True)
+
+    p1 = pages_dir / "page_001.png"
+    paper = _paper_of_height(Image.open(p1).height) if p1.exists() else "unknown"
+
+    results = []
+    for info_path in sorted(arts_dir.glob("*/info.json")):
+        info = json.loads(info_path.read_text())
+        P, bbox = info.get("page"), info.get("bbox")
+        headline = info.get("headline_telugu") or ""
+        if not P or not bbox:
+            continue
+        # Continuations only ever START on page 1 — the front page jumps long lead
+        # stories onto inside pages. Articles on pages 2+ are self-contained, so we
+        # never scan them for a jump-from marker.
+        if P != 1:
+            continue
+        src_png = pages_dir / f"page_{P:03d}.png"
+        if not src_png.exists():
+            continue
+
+        N = _find_jump_from(Image.open(src_png), bbox)        # SIGNAL 1: jump-from
+        if not N or N == P:
+            continue
+
+        # The jump-from page DIGIT is OCR-noisy (Telugu ౪/౬ confusion) and can point
+        # at a page outside this extraction (here the front page said '6వ పేజీ' but
+        # the run only has 4 pages). So treat the marker as "this front-page lead
+        # continues on a later page" and resolve the ACTUAL target by the repeated-
+        # headline signal: score every OTHER page's doc_titles against the source
+        # headline and take the best match, breaking ties toward the OCR'd page N.
+        existing = sorted(
+            int(m.group(1))
+            for q in pages_dir.glob("page_*.png")
+            if (m := re.match(r"page_(\d+)\.png$", q.name)))
+        best = None   # (score, page, tregs, tgt_png_str, hl, marker)
+        for q in existing:
+            if q == P:
+                continue
+            qr = pages_dir / f"page_{q:03d}.regions.json"
+            qp = pages_dir / f"page_{q:03d}.png"
+            if not qr.exists() or not qp.exists():
+                continue
+            qregs = json.loads(qr.read_text())["regions"]
+            hl_q, score_q, marker_q = _best_headline(qregs, Image.open(qp), headline, match_thresh)
+            if hl_q is None:
+                continue
+            if best is None or score_q > best[0] or (score_q == best[0] and q == N):
+                best = (score_q, q, qregs, str(qp), hl_q, marker_q)
+
+        if best is None:
+            rec = {"article": info_path.parent.name, "src_page": P, "headline": headline,
+                   "target_page": N, "match_score": 0.0, "taruvaayi_marker": False,
+                   "linked": False,
+                   "reason": "no matching repeated headline on any inside page"}
+            results.append(rec)
+            if verbose:
+                print(f"  ✗ {rec['article']} → p{N}: jump-from found but no repeated "
+                      f"headline match on any inside page (NOT linked)")
+            continue
+
+        score, N, tregs, tgt_png, hl, marker = best
+        rec = {"article": info_path.parent.name, "src_page": P, "headline": headline,
+               "target_page": N, "match_score": round(score, 2),
+               "taruvaayi_marker": marker, "linked": False}
+
+        cont_img, cbox = _continuation_crop(tregs, tgt_png, paper, hl)
+        if cont_img is None:
+            rec["reason"] = "no body under repeated headline"
+            results.append(rec)
+            continue
+        out_png = out_dir / f"{info_path.parent.name}__cont_p{N:03d}.png"
+        size = _stitch(arts_dir / info_path.parent.name / "article.png",
+                       cont_img, out_png)
+        rec.update({"linked": True, "cont_bbox": cbox,
+                    "stitched": str(out_png), "stitched_size": size})
+        results.append(rec)
+        if verbose:
+            print(f"  ✓ {rec['article']} '{headline[:26]}' → p{N} "
+                  f"(headline {score:.2f}, తరువాయి={marker}) → {out_png.name}")
+
+    (out_dir / "links.json").write_text(json.dumps(results, indent=2, ensure_ascii=False))
+    linked = sum(1 for r in results if r["linked"])
+    if verbose:
+        print(f"\n  {linked} continuation(s) linked & stitched; report: {out_dir/'links.json'}")
+    return results
+
+
+if __name__ == "__main__":
+    import sys
+    link_continuations(sys.argv[1] if len(sys.argv) > 1 else "output/20260601_234709")
diff --git a/scratch_py/_detect_rules.py b/scratch_py/_detect_rules.py
new file mode 100644
index 0000000..bf1fccb
--- /dev/null
+++ b/scratch_py/_detect_rules.py
@@ -0,0 +1,74 @@
+"""PROOF-OF-CONCEPT: detect the printed grey separator rules on a newspaper page
+using classical CV (no ML, no API). Horizontal + vertical thin straight lines are
+extracted by morphological opening with long thin kernels, then overlaid on the
+page so we can see whether they recover article boundaries.
+
+Usage: venv/bin/python3 _detect_rules.py <page_png> [out_png]
+"""
+import sys
+from pathlib import Path
+
+import cv2
+import numpy as np
+
+
+def detect_rules(gray, min_frac=0.10, thickness=9):
+    """Return (h_lines, v_lines) as lists of (x1,y1,x2,y2).
+    min_frac: a rule must be at least this fraction of page width/height long.
+    """
+    H, W = gray.shape
+    # The rules are mid-grey on white. Invert + threshold so lines become white.
+    # Use a gentle adaptive-ish binarisation: anything clearly darker than paper.
+    blur = cv2.GaussianBlur(gray, (3, 3), 0)
+    bw = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
+
+    def extract(kernel_len, horizontal):
+        if horizontal:
+            k = cv2.getStructuringElement(cv2.MORPH_RECT, (kernel_len, 1))
+        else:
+            k = cv2.getStructuringElement(cv2.MORPH_RECT, (1, kernel_len))
+        opened = cv2.morphologyEx(bw, cv2.MORPH_OPEN, k, iterations=1)
+        # thicken slightly so near-collinear fragments merge
+        opened = cv2.dilate(opened, cv2.getStructuringElement(
+            cv2.MORPH_RECT, (thickness, thickness)))
+        cnts, _ = cv2.findContours(opened, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+        lines = []
+        for c in cnts:
+            x, y, w, h = cv2.boundingRect(c)
+            if horizontal and w >= min_frac * W and h <= 60:
+                lines.append((x, y + h // 2, x + w, y + h // 2, w))
+            if (not horizontal) and h >= min_frac * H and w <= 60:
+                lines.append((x + w // 2, y, x + w // 2, y + h, h))
+        return lines
+
+    h_lines = extract(int(min_frac * W), horizontal=True)
+    v_lines = extract(int(min_frac * H), horizontal=False)
+    return h_lines, v_lines
+
+
+def main(png_path, out_path=None):
+    png_path = Path(png_path)
+    out_path = Path(out_path) if out_path else Path(f"/tmp/rules_{png_path.stem}.png")
+    img = cv2.imread(str(png_path))
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    H, W = gray.shape
+    h_lines, v_lines = detect_rules(gray)
+
+    print(f"page {png_path.name}  {W}x{H}")
+    print(f"  horizontal rules: {len(h_lines)}")
+    for x1, y1, x2, y2, ln in sorted(h_lines, key=lambda L: L[1]):
+        print(f"    y={y1:>5}  x[{x1:>4}..{x2:>4}]  len={ln}")
+    print(f"  vertical rules: {len(v_lines)}")
+    for x1, y1, x2, y2, ln in sorted(v_lines, key=lambda L: L[0]):
+        print(f"    x={x1:>5}  y[{y1:>4}..{y2:>4}]  len={ln}")
+
+    for x1, y1, x2, y2, ln in h_lines:
+        cv2.line(img, (x1, y1), (x2, y2), (0, 0, 255), 6)      # red = horizontal
+    for x1, y1, x2, y2, ln in v_lines:
+        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 0), 6)      # blue = vertical
+    cv2.imwrite(str(out_path), img)
+    print(f"\noverlay written: {out_path}")
+
+
+if __name__ == "__main__":
+    main(sys.argv[1], sys.argv[2] if len(sys.argv) > 2 else None)
diff --git a/scratch_py/_diff_snap.py b/scratch_py/_diff_snap.py
new file mode 100644
index 0000000..8c10f04
--- /dev/null
+++ b/scratch_py/_diff_snap.py
@@ -0,0 +1,16 @@
+import json
+from pathlib import Path
+b=json.loads(Path("scratch_py/_snap_base.json").read_text())
+n=json.loads(Path("scratch_py/_snap_new.json").read_text())
+any_change=False
+for pg in ("1","2","3","4"):
+    bp,np_=b[pg],n[pg]
+    keys=set(bp)|set(np_)
+    for k in sorted(keys,key=int):
+        if bp.get(k)!=np_.get(k):
+            any_change=True
+            print(f"PAGE{pg} anchor {k}:")
+            print(f"   base={bp.get(k)}")
+            print(f"   new ={np_.get(k)}")
+if not any_change:
+    print("NO CHANGE across all 4 pages — column-walk is a no-op on this fixture.")
diff --git a/scratch_py/_find_banner.py b/scratch_py/_find_banner.py
new file mode 100644
index 0000000..fc2f39b
--- /dev/null
+++ b/scratch_py/_find_banner.py
@@ -0,0 +1,14 @@
+import json
+from pathlib import Path
+import numpy as np
+D = Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
+for pg in (1,2,3,4):
+    regs = json.loads((D/f"page_{pg:03d}.regions.json").read_text())["regions"]
+    texts=[r for r in regs if r.get("type")=="text"]
+    ws=[r["bbox"][2]-r["bbox"][0] for r in texts]
+    pitch=int(np.median(ws)) if ws else 0
+    docs=[r for r in regs if r.get("type")=="doc_title"]
+    print(f"== PAGE {pg}: textmedian(pitch)={pitch}, {len(docs)} doc_titles ==")
+    for r in sorted(docs,key=lambda r:r["bbox"][1]):
+        b=r["bbox"]; w=b[2]-b[0]
+        print(f"   doc#{r['id']:>3} bbox={b} w={w} (~{w/max(1,pitch):.1f} col)")
diff --git a/scratch_py/_ocr_page4.py b/scratch_py/_ocr_page4.py
new file mode 100644
index 0000000..dde81d8
--- /dev/null
+++ b/scratch_py/_ocr_page4.py
@@ -0,0 +1,21 @@
+import paddleocr
+from PIL import Image
+from pathlib import Path
+
+# Find the latest page 4 image
+img_path = next(Path("output").glob("20260612_003429/pages/page_004.png"))
+print(f"Running PaddleOCR on {img_path}")
+
+ocr = paddleocr.PaddleOCR(lang='te')
+result = ocr.predict(str(img_path))
+
+print("OCR lines on Page 4 containing 'చెరువు' or 'మంత్రి' or numbers:")
+if isinstance(result, list) and len(result) > 0:
+    det_result = result[0]
+    # Check if it has boxes and texts
+    texts = det_result.get('rec_texts', [])
+    boxes = det_result.get('dt_polys', [])
+    for i, txt in enumerate(texts):
+        if any(w in txt for w in ["చెరువు", "మంత్రి", "36", "ఏళ్ల", "ఉత్తమ్", "పల్లా", "సిద్ధపేట", "గూడెం"]):
+            box = boxes[i].tolist() if hasattr(boxes[i], 'tolist') else boxes[i]
+            print(f"Text: '{txt}' at box: {box}")
diff --git a/scratch_py/_peek.py b/scratch_py/_peek.py
new file mode 100644
index 0000000..583e167
--- /dev/null
+++ b/scratch_py/_peek.py
@@ -0,0 +1,11 @@
+import sys
+sys.path.insert(0,".")
+from PIL import Image
+from pathlib import Path
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
+img=Image.open(base/"page_001.png").convert("RGB")
+print("page size",img.size)
+# bottom region holding H38 + neighbours
+crop=img.crop((1550,5300,4135,6800))
+crop.save("scratch_py/_peek_bottom.png")
+print("saved scratch_py/_peek_bottom.png", crop.size)
diff --git a/scratch_py/_peek2.py b/scratch_py/_peek2.py
new file mode 100644
index 0000000..b000dfa
--- /dev/null
+++ b/scratch_py/_peek2.py
@@ -0,0 +1,14 @@
+import sys, json
+sys.path.insert(0,".")
+from PIL import Image
+from pathlib import Path
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
+img=Image.open(base/"page_001.png").convert("RGB")
+img.crop((2750,4750,4150,6800)).save("scratch_py/_peek_rightcol.png")
+# list regions in right column area
+regs=json.loads((base/"page_001.regions.json").read_text())["regions"]
+print("regions with cx in [3100,4150] and y in [4750,6800]:")
+for r in sorted(regs,key=lambda r:r["bbox"][1]):
+    b=r["bbox"]; cx=(b[0]+b[2])/2
+    if 3100<=cx<=4150 and b[1]<6800 and b[3]>4750:
+        print(f"  R{r['id']:>3} {r.get('type'):<14} bbox={b}")
diff --git a/scratch_py/_probe_walk.py b/scratch_py/_probe_walk.py
new file mode 100644
index 0000000..fd151bc
--- /dev/null
+++ b/scratch_py/_probe_walk.py
@@ -0,0 +1,29 @@
+import sys, json, contextlib, io
+sys.path.insert(0,".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+D=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919/pages")
+def cx(b): return (b[0]+b[2])/2
+for pg in (1,2,3,4):
+    png=D/f"page_{pg:03d}.png"
+    regs0=json.loads((D/f"page_{pg:03d}.regions.json").read_text())["regions"]
+    with contextlib.redirect_stdout(io.StringIO()):
+        regs=se.drop_masthead_regions(regs0,"andhra_jyothi",pg,png)
+        ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+        bars=separator_barriers(str(png),regs)
+        bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    tws=sorted(r["bbox"][2]-r["bbox"][0] for r in regs if r.get("type")=="text")
+    pitch=tws[len(tws)//2] if tws else 0
+    dl=set(s["region_id"] for s in ds)
+    docids=set(r["id"] for r in regs if r.get("type")=="doc_title")
+    hard=dl|docids
+    vsep=[L for L in bars if L.get("vert")]
+    print(f"== PAGE{pg} pitch={pitch} vrules={len(vsep)} ==")
+    for blk in bl:
+        b=blk["bbox"]; w=b[2]-b[0]
+        if blk["kind"]=="H" and w>=1.6*pitch:
+            lo,hi=b[2],b[2]+int(1.4*pitch)
+            col=[r for r in regs if r.get("type") not in ("header","number") and lo+5<=cx(r["bbox"])<=hi]
+            hardhit=[r["id"] for r in col if r["id"] in hard]
+            print(f"  banner R{blk['anchor_id']} bbox={b} w={w} (~{w/pitch:.1f}col) rightcol_regs={[r['id'] for r in col]} hard={hardhit}")
diff --git a/scratch_py/_regress_final.py b/scratch_py/_regress_final.py
new file mode 100644
index 0000000..13f7c12
--- /dev/null
+++ b/scratch_py/_regress_final.py
@@ -0,0 +1,147 @@
+"""Production-path regression harness for grow_articles_final.
+
+Unlike _regress_grow.py (which calls _grow_article_downward directly with
+dateline_starts=None and so over-estimates wrapping), this mirrors the REAL
+pipeline tail: it computes dateline_starts via find_article_starts_by_dateline
+and runs grow_articles_final exactly as production does. A diff of two snapshots
+therefore isolates what the code change does ON THE SHIPPING PATH.
+
+Usage:
+    venv/bin/python3 _regress_final.py snapshot.json        # snapshot current code
+    venv/bin/python3 _regress_final.py --diff a.json b.json # compare two snapshots
+"""
+import json
+import sys
+from collections import Counter
+from pathlib import Path
+
+OUT = Path("output")
+
+
+def paper_of_height(h):
+    if 7040 <= h <= 7060:
+        return "sakshi"
+    if h in (6833, 6549):
+        return "andhra_jyothi"
+    if h == 6422:
+        return "namaste_telangana"
+    return "unknown"
+
+
+def union_bbox(member_ids, region_map):
+    bs = [region_map[r]["bbox"] for r in member_ids if r in region_map]
+    if not bs:
+        return None
+    return [min(b[0] for b in bs), min(b[1] for b in bs),
+            max(b[2] for b in bs), max(b[3] for b in bs)]
+
+
+def run():
+    import copy
+    from PIL import Image
+    from smart_extractor import find_article_starts_by_dateline, grow_articles_final
+
+    runs = sorted([d for d in OUT.iterdir() if d.is_dir()],
+                  key=lambda d: d.stat().st_mtime, reverse=True)
+    snapshot = {}
+    papers = Counter()
+    for run_dir in runs:
+        pages_dir = run_dir / "pages"
+        if not pages_dir.exists():
+            continue
+        for reg_path in sorted(pages_dir.glob("page_*.regions.json")):
+            pol_path = reg_path.with_name(reg_path.name.replace(
+                ".regions.json", ".political_result.json"))
+            png = reg_path.with_name(reg_path.name.replace(".regions.json", ".png"))
+            if not pol_path.exists() or not png.exists():
+                continue
+            regions = json.loads(reg_path.read_text())["regions"]
+            region_map = {r["id"]: r for r in regions}
+            political = json.loads(pol_path.read_text()).get("political_articles", [])
+            if not political:
+                continue
+            try:
+                paper = paper_of_height(Image.open(png).height)
+                dateline_starts = find_article_starts_by_dateline(
+                    regions, str(png), paper)
+                grown = grow_articles_final(
+                    copy.deepcopy(political), regions, dateline_starts)
+            except Exception as e:
+                print(f"  SKIP {run_dir.name}/{reg_path.stem}: {e}")
+                continue
+
+            for i, art in enumerate(grown):
+                key = f"{run_dir.name}/{reg_path.stem}/art{i}"
+                members = sorted(art.get("member_region_ids", []) or [])
+                snapshot[key] = {
+                    "paper": paper,
+                    "headline": art.get("headline_english", "")[:50],
+                    "members": members,
+                    "bbox": union_bbox(members, region_map),
+                }
+                papers[paper] += 1
+    print(f"  papers: {dict(papers)}")
+    return snapshot
+
+
+def diff(path_a, path_b):
+    a = json.loads(Path(path_a).read_text())
+    b = json.loads(Path(path_b).read_text())
+    keys = sorted(set(a) | set(b))
+
+    per_total = Counter()
+    per_changed = Counter()
+    grew = Counter()
+    shrank = Counter()
+    samples = []
+
+    for k in keys:
+        ra, rb = a.get(k), b.get(k)
+        paper = (rb or ra).get("paper", "unknown")
+        per_total[paper] += 1
+        if ra is None or rb is None:
+            per_changed[paper] += 1
+            samples.append((k, paper, "ONLY IN ONE SNAPSHOT", None, None))
+            continue
+        sa, sb = set(ra["members"]), set(rb["members"])
+        if sa != sb:
+            per_changed[paper] += 1
+            added = sorted(sb - sa)
+            removed = sorted(sa - sb)
+            if added:
+                grew[paper] += 1
+            if removed:
+                shrank[paper] += 1
+            samples.append((k, paper, rb["headline"], added, removed))
+
+    print("\n=== PRODUCTION-PATH DIFF (A=baseline/OLD  ->  B=new) ===")
+    print(f"{'paper':<18}{'articles':>10}{'changed':>9}{'grew':>7}{'shrank':>8}")
+    for paper in sorted(per_total):
+        print(f"{paper:<18}{per_total[paper]:>10}{per_changed[paper]:>9}"
+              f"{grew[paper]:>7}{shrank[paper]:>8}")
+    tot = sum(per_total.values())
+    chg = sum(per_changed.values())
+    print(f"{'TOTAL':<18}{tot:>10}{chg:>9}{sum(grew.values()):>7}{sum(shrank.values()):>8}")
+
+    if samples:
+        print(f"\n--- {len(samples)} changed article(s) ---")
+        for k, paper, hl, added, removed in samples:
+            print(f"\n[{paper}] {k}")
+            print(f"  headline: {hl}")
+            if added:
+                print(f"  + added : {added}")
+            if removed:
+                print(f"  - removed: {removed}")
+    else:
+        print("\nNo differences — member sets identical across all fixtures.")
+    return chg
+
+
+if __name__ == "__main__":
+    if len(sys.argv) >= 4 and sys.argv[1] == "--diff":
+        diff(sys.argv[2], sys.argv[3])
+    else:
+        out_path = sys.argv[1] if len(sys.argv) > 1 else "/tmp/final_snapshot.json"
+        snap = run()
+        Path(out_path).write_text(json.dumps(snap, indent=2, ensure_ascii=False))
+        print(f"wrote {len(snap)} article snapshots to {out_path}")
diff --git a/scratch_py/_regress_grow.py b/scratch_py/_regress_grow.py
new file mode 100644
index 0000000..94437d7
--- /dev/null
+++ b/scratch_py/_regress_grow.py
@@ -0,0 +1,173 @@
+"""Regression harness for _grow_article_downward.
+
+Runs the grow function over the saved fixtures of EVERY cached run, with IDENTICAL
+auxiliary inputs (claimed = union of OTHER articles' members on the page,
+dateline_starts = None). Because old and new code receive the same inputs, a diff
+of the two output snapshots isolates exactly what the code change does.
+
+Records per article: the grown member-id set and its union bbox, tagged with the
+source newspaper (from meta.json) so results can be broken down per paper.
+
+Usage:
+    python3 _regress_grow.py snapshot.json          # snapshot current code
+    python3 _regress_grow.py --diff a.json b.json   # compare two snapshots
+"""
+import json
+import re
+import sys
+from collections import Counter
+from pathlib import Path
+
+OUT = Path("output")
+
+
+def union_bbox(member_ids, region_map):
+    bs = [region_map[r]["bbox"] for r in member_ids if r in region_map]
+    if not bs:
+        return None
+    return [min(b[0] for b in bs), min(b[1] for b in bs),
+            max(b[2] for b in bs), max(b[3] for b in bs)]
+
+
+def paper_of(run_dir):
+    meta = run_dir / "meta.json"
+    if meta.exists():
+        try:
+            fn = json.loads(meta.read_text()).get("filename", "")
+            name = re.split(r"[_0-9]", fn)[0].strip()
+            if name:
+                return name
+        except Exception:
+            pass
+    # Cached fixtures carry no meta.json; identify the paper by page-1 image height,
+    # which is distinct per edition (verified against the printed masthead nameplate).
+    png = run_dir / "pages" / "page_001.png"
+    if png.exists():
+        try:
+            from PIL import Image
+            h = Image.open(png).height
+            if 7040 <= h <= 7060:
+                return "Sakshi"
+            if h in (6833, 6549):
+                return "Andhra Jyothi"
+            if h == 6422:
+                return "Namaste Telangana"
+        except Exception:
+            pass
+    return "unknown"
+
+
+def run():
+    from smart_extractor import _grow_article_downward
+
+    runs = sorted([d for d in OUT.iterdir() if d.is_dir()],
+                  key=lambda d: d.stat().st_mtime, reverse=True)
+    snapshot = {}
+    papers = Counter()
+    for run_dir in runs:
+        pages_dir = run_dir / "pages"
+        if not pages_dir.exists():
+            continue
+        paper = paper_of(run_dir)
+        for reg_path in sorted(pages_dir.glob("page_*.regions.json")):
+            pol_path = reg_path.with_name(reg_path.name.replace(".regions.json",
+                                                               ".political_result.json"))
+            if not pol_path.exists():
+                continue
+            regions = json.loads(reg_path.read_text())["regions"]
+            region_map = {r["id"]: r for r in regions}
+            political = json.loads(pol_path.read_text()).get("political_articles", [])
+
+            # claimed = every member of every article (mirrors the real caller's
+            # global claimed set built before growth).
+            all_members = set()
+            for a in political:
+                all_members.update(a.get("member_region_ids", []))
+
+            for i, art in enumerate(political):
+                members = art.get("member_region_ids", []) or []
+                if not members:
+                    continue
+                # claimed for THIS article = everything claimed by OTHER articles.
+                claimed = set(all_members) - set(members)
+                grown, added = _grow_article_downward(
+                    members, region_map, regions, claimed, dateline_starts=None
+                )
+                key = f"{run_dir.name}/{reg_path.stem}/art{i}"
+                snapshot[key] = {
+                    "paper": paper,
+                    "headline": art.get("headline_english", "")[:50],
+                    "in_members": sorted(members),
+                    "grown_members": sorted(grown),
+                    "added": sorted(added),
+                    "in_bbox": union_bbox(members, region_map),
+                    "grown_bbox": union_bbox(grown, region_map),
+                }
+                papers[paper] += 1
+    print(f"  papers: {dict(papers)}")
+    return snapshot
+
+
+def diff(path_a, path_b):
+    """Compare snapshot A (baseline/OLD) against B (NEW). Reports per-paper how many
+    articles changed their grown member set, plus a sample of the changes."""
+    a = json.loads(Path(path_a).read_text())
+    b = json.loads(Path(path_b).read_text())
+    keys = sorted(set(a) | set(b))
+
+    per_paper_total = Counter()
+    per_paper_changed = Counter()
+    grew = Counter()      # NEW added regions OLD didn't
+    shrank = Counter()    # NEW dropped regions OLD had
+    samples = []
+
+    for k in keys:
+        ra, rb = a.get(k), b.get(k)
+        paper = (rb or ra).get("paper", "unknown")
+        per_paper_total[paper] += 1
+        if ra is None or rb is None:
+            per_paper_changed[paper] += 1
+            samples.append((k, paper, "ONLY IN ONE SNAPSHOT", None, None))
+            continue
+        sa, sb = set(ra["grown_members"]), set(rb["grown_members"])
+        if sa != sb:
+            per_paper_changed[paper] += 1
+            added = sorted(sb - sa)
+            removed = sorted(sa - sb)
+            if added:
+                grew[paper] += 1
+            if removed:
+                shrank[paper] += 1
+            samples.append((k, paper, rb["headline"], added, removed))
+
+    print("\n=== REGRESSION DIFF (A=baseline/OLD  →  B=new) ===")
+    print(f"{'paper':<18}{'articles':>10}{'changed':>9}{'grew':>7}{'shrank':>8}")
+    for paper in sorted(per_paper_total):
+        print(f"{paper:<18}{per_paper_total[paper]:>10}{per_paper_changed[paper]:>9}"
+              f"{grew[paper]:>7}{shrank[paper]:>8}")
+    tot = sum(per_paper_total.values())
+    chg = sum(per_paper_changed.values())
+    print(f"{'TOTAL':<18}{tot:>10}{chg:>9}{sum(grew.values()):>7}{sum(shrank.values()):>8}")
+
+    if samples:
+        print(f"\n--- {len(samples)} changed article(s) (showing up to 40) ---")
+        for k, paper, hl, added, removed in samples[:40]:
+            print(f"\n[{paper}] {k}")
+            print(f"  headline: {hl}")
+            if added:
+                print(f"  + added : {added}")
+            if removed:
+                print(f"  - removed: {removed}")
+    else:
+        print("\nNo differences — grown member sets are identical across all fixtures.")
+    return chg
+
+
+if __name__ == "__main__":
+    if len(sys.argv) >= 4 and sys.argv[1] == "--diff":
+        diff(sys.argv[2], sys.argv[3])
+    else:
+        out_path = sys.argv[1] if len(sys.argv) > 1 else "/tmp/grow_snapshot.json"
+        snap = run()
+        Path(out_path).write_text(json.dumps(snap, indent=2, ensure_ascii=False))
+        print(f"wrote {len(snap)} article snapshots to {out_path}")
diff --git a/scratch_py/_regress_masthead.py b/scratch_py/_regress_masthead.py
new file mode 100644
index 0000000..3313aa9
--- /dev/null
+++ b/scratch_py/_regress_masthead.py
@@ -0,0 +1,139 @@
+"""Regression harness for drop_masthead_regions.
+
+drop_masthead_regions runs inside main() BEFORE political_result.json is saved, so
+the saved fixtures never capture its effect. This harness replays it directly over
+every cached page's regions.json, mirroring the real call
+(drop_masthead_regions(regions, paper, page_num, page_img_path)).
+
+The cached fixtures carry no meta.json, so the paper is recovered from the page-1
+image height (verified against the printed masthead nameplate):
+    7053/7055 -> sakshi   6833/6549 -> andhra_jyothi   6422 -> namaste_telangana
+
+Two views:
+  • SHIPPED (gated): what the function actually drops in production. Expect the
+    Namaste Telangana page-1 masthead to be dropped (incl. a doc_title nameplate,
+    the mis-group seed) and NOTHING dropped on inner pages or other papers.
+  • UNGATED PROBE: the same geometric rule with the paper/page gate removed, run on
+    every page-1. Confirms the gate is the only thing keeping the rule off other
+    papers AND that the rule would never strip a genuine page-1 headline.
+"""
+import glob
+import json
+import sys
+from collections import Counter
+from pathlib import Path
+
+from PIL import Image
+
+import smart_extractor
+from smart_extractor import drop_masthead_regions
+
+OUT = Path("output")
+
+
+def paper_of(run_dir):
+    png = run_dir / "pages" / "page_001.png"
+    if png.exists():
+        try:
+            h = Image.open(png).height
+            if 7040 <= h <= 7060:
+                return "sakshi"
+            if h in (6833, 6549):
+                return "andhra_jyothi"
+            if h == 6422:
+                return "namaste_telangana"
+        except Exception:
+            pass
+    return "unknown"
+
+
+def page_num_of(reg_path):
+    # page_001.regions.json -> 1
+    stem = reg_path.name.split(".")[0]      # page_001
+    return int(stem.split("_")[1])
+
+
+def types_of(regions, ids):
+    m = {r["id"]: r.get("type") for r in regions}
+    return Counter(m.get(i) for i in ids)
+
+
+def run():
+    dirs = sorted([d for d in OUT.iterdir() if d.is_dir()])
+    shipped = []     # rows: (paper, page, run, dropped_ids, dropped_types)
+    probe = []       # ungated, page-1 only
+    fired = Counter()        # paper -> #page-1 runs where shipped drop fired
+    p1_total = Counter()     # paper -> #page-1 runs
+    false_pos = []           # shipped drops on non-NT or page>1 (should be empty)
+
+    for d in dirs:
+        pages_dir = d / "pages"
+        if not pages_dir.exists():
+            continue
+        paper = paper_of(d)
+        for reg_path in sorted(pages_dir.glob("page_*.regions.json")):
+            page_num = page_num_of(reg_path)
+            png = pages_dir / reg_path.name.replace(".regions.json", ".png")
+            regions = json.loads(reg_path.read_text())["regions"]
+
+            # ---- SHIPPED (gated) ----
+            kept = drop_masthead_regions(list(regions), paper, page_num, str(png))
+            kept_ids = {r["id"] for r in kept}
+            dropped = sorted(r["id"] for r in regions if r["id"] not in kept_ids)
+            if dropped:
+                shipped.append((paper, page_num, d.name, dropped, types_of(regions, dropped)))
+                if not (paper == "namaste_telangana" and page_num == 1):
+                    false_pos.append((paper, page_num, d.name, dropped))
+
+            if page_num == 1:
+                p1_total[paper] += 1
+                if paper == "namaste_telangana" and dropped:
+                    fired[paper] += 1
+
+                # ---- UNGATED PROBE (force the rule to run) ----
+                probe_kept = drop_masthead_regions(list(regions), "namaste_telangana", 1, str(png))
+                probe_kept_ids = {r["id"] for r in probe_kept}
+                pdropped = sorted(r["id"] for r in regions if r["id"] not in probe_kept_ids)
+                if pdropped:
+                    probe.append((paper, d.name, pdropped, types_of(regions, pdropped)))
+
+    return shipped, probe, fired, p1_total, false_pos
+
+
+def report(shipped, probe, fired, p1_total, false_pos):
+    print("\n=== SHIPPED (gated) — Namaste Telangana page-1 masthead drop ===")
+    nt = [s for s in shipped if s[0] == "namaste_telangana" and s[1] == 1]
+    print(f"NT page-1 runs: {p1_total['namaste_telangana']}  |  masthead fired in: {fired['namaste_telangana']}")
+    seedless = []
+    for paper, page, run, dropped, types in sorted(nt, key=lambda x: x[2]):
+        has_title = types.get("doc_title", 0) > 0
+        flag = "" if has_title else "   ⚠️ no doc_title dropped (seed not removed?)"
+        if not has_title:
+            seedless.append(run)
+        print(f"  {run}: dropped {dropped}  types={dict(types)}{flag}")
+
+    misses = p1_total['namaste_telangana'] - fired['namaste_telangana']
+    print(f"\n  NT page-1 misses (nothing dropped): {misses}")
+    print(f"  NT page-1 drops WITHOUT a doc_title nameplate seed: {len(seedless)} {seedless}")
+
+    print("\n=== FALSE POSITIVES (shipped drops on non-NT, or page>1) ===")
+    if false_pos:
+        for paper, page, run, dropped in false_pos:
+            print(f"  ⚠️ {paper} p{page} {run}: dropped {dropped}")
+    else:
+        print("  none — gate held: 0 drops on inner pages and on Sakshi/Andhra Jyothi.")
+
+    print("\n=== UNGATED PROBE — would the bare geometric rule strip a real headline? ===")
+    by_paper = Counter(p[0] for p in probe)
+    print(f"page-1 runs where the ungated rule drops something, by paper: {dict(by_paper)}")
+    for paper in ("sakshi", "andhra_jyothi"):
+        hits = [p for p in probe if p[0] == paper]
+        print(f"\n  --- {paper}: {len(hits)} page-1 run(s) would drop something ungated ---")
+        for _, run, dropped, types in hits[:12]:
+            print(f"    {run}: {dropped}  types={dict(types)}")
+        if not hits:
+            print("    none — rule is inert on this paper's page-1 even ungated (safe).")
+
+
+if __name__ == "__main__":
+    report(*run())
diff --git a/scratch_py/_replay_crop.py b/scratch_py/_replay_crop.py
new file mode 100644
index 0000000..47bc4dc
--- /dev/null
+++ b/scratch_py/_replay_crop.py
@@ -0,0 +1,70 @@
+"""Replay the post-Claude pipeline tail on a saved run's fixtures, WITHOUT any
+billable Claude calls. Loads regions.json + political_result.json (already
+post-safeguard), then applies ONLY the new steps that change the crop:
+  - grow_articles_final (Fix #1 floor threshold + Fix #3 final grow pass)
+  - crop_political_articles (Fix #2 column-aware foreign-headline clip)
+and writes regenerated crops to a /tmp dir for visual inspection.
+
+Usage: python3 _replay_crop.py <run_dir> <page_num>
+"""
+import json
+import sys
+from pathlib import Path
+
+import smart_extractor
+from smart_extractor import (
+    find_article_starts_by_dateline,
+    grow_articles_final,
+    crop_political_articles,
+)
+
+
+def paper_of_height(h):
+    if 7040 <= h <= 7060:
+        return "sakshi"
+    if h in (6833, 6549):
+        return "andhra_jyothi"
+    if h == 6422:
+        return "namaste_telangana"
+    return "unknown"
+
+
+def main(run_dir, page_num):
+    run = Path(run_dir)
+    pages = run / "pages"
+    png = pages / f"page_{page_num:03d}.png"
+    reg_path = pages / f"page_{page_num:03d}.regions.json"
+    pol_path = pages / f"page_{page_num:03d}.political_result.json"
+
+    regions = json.loads(reg_path.read_text())["regions"]
+    political = json.loads(pol_path.read_text())["political_articles"]
+
+    from PIL import Image
+    paper = paper_of_height(Image.open(png).height)
+    print(f"paper={paper}  regions={len(regions)}  articles={len(political)}")
+
+    dateline_starts = find_article_starts_by_dateline(regions, str(png), paper)
+
+    print("\n--- BEFORE grow_articles_final (saved member sets) ---")
+    for i, a in enumerate(political, 1):
+        m = sorted(a.get("member_region_ids", []) or [])
+        print(f"  a{i:03d}: {a.get('headline_english','?')[:38]!r:42} members={m}")
+
+    political = grow_articles_final(political, regions, dateline_starts)
+
+    print("\n--- AFTER grow_articles_final ---")
+    for i, a in enumerate(political, 1):
+        m = sorted(a.get("member_region_ids", []) or [])
+        print(f"  a{i:03d}: {a.get('headline_english','?')[:38]!r:42} members={m}")
+
+    out = Path(f"/tmp/replay_{run.name}_p{page_num:03d}")
+    out.mkdir(parents=True, exist_ok=True)
+    print(f"\n--- CROP (writing to {out}) ---")
+    crop_political_articles(str(png), political, regions, out, page_num)
+    print(f"\nCrops written to: {out}")
+    for f in sorted(out.glob("*.png")):
+        print(f"  {f.name}")
+
+
+if __name__ == "__main__":
+    main(sys.argv[1], int(sys.argv[2]))
diff --git a/scratch_py/_replay_pg1_all.py b/scratch_py/_replay_pg1_all.py
new file mode 100644
index 0000000..9f83196
--- /dev/null
+++ b/scratch_py/_replay_pg1_all.py
@@ -0,0 +1,19 @@
+import sys, json, shutil, contextlib, io
+sys.path.insert(0,".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919")
+D=base/"pages"; out=base/"pg1_all_current"
+if out.exists(): shutil.rmtree(out)
+png=D/"page_001.png"
+regs=json.loads((D/"page_001.regions.json").read_text())["regions"]
+with contextlib.redirect_stdout(io.StringIO()):
+    regs=se.drop_masthead_regions(regs,"andhra_jyothi",1,png)
+    ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+    bars=separator_barriers(str(png),regs)
+    bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    n=se.crop_all_article_blocks(str(png),regs,str(out),1,dateline_starts=ds,sep_lines=bars)
+for b in sorted(bl,key=lambda d:(d["bbox"][1],d["bbox"][0])):
+    print(f"{b['kind']:>2} anchor={b['anchor_id']:>3} bbox={b['bbox']} w={b['bbox'][2]-b['bbox'][0]}")
+print(f"\n{n} crops -> {out}/page_001/")
diff --git a/scratch_py/_replay_pg2_all.py b/scratch_py/_replay_pg2_all.py
new file mode 100644
index 0000000..efd6304
--- /dev/null
+++ b/scratch_py/_replay_pg2_all.py
@@ -0,0 +1,19 @@
+import sys, json, shutil, contextlib, io
+sys.path.insert(0,".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919")
+D=base/"pages"; out=base/"pg2_all_current"
+if out.exists(): shutil.rmtree(out)
+png=D/"page_002.png"
+regs=json.loads((D/"page_002.regions.json").read_text())["regions"]
+with contextlib.redirect_stdout(io.StringIO()):
+    regs=se.drop_masthead_regions(regs,"andhra_jyothi",2,png)
+    ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+    bars=separator_barriers(str(png),regs)
+    bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    n=se.crop_all_article_blocks(str(png),regs,str(out),2,dateline_starts=ds,sep_lines=bars)
+for b in sorted(bl,key=lambda d:(d["bbox"][1],d["bbox"][0])):
+    print(f"{b['kind']:>2} anchor={b['anchor_id']:>3} bbox={b['bbox']} w={b['bbox'][2]-b['bbox'][0]}")
+print(f"\n{n} crops -> {out}/page_002/")
diff --git a/scratch_py/_replay_pg3_all.py b/scratch_py/_replay_pg3_all.py
new file mode 100644
index 0000000..127826b
--- /dev/null
+++ b/scratch_py/_replay_pg3_all.py
@@ -0,0 +1,19 @@
+import sys, json, shutil, contextlib, io
+sys.path.insert(0,".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919")
+D=base/"pages"; out=base/"pg3_all_current"
+if out.exists(): shutil.rmtree(out)
+png=D/"page_003.png"
+regs=json.loads((D/"page_003.regions.json").read_text())["regions"]
+with contextlib.redirect_stdout(io.StringIO()):
+    regs=se.drop_masthead_regions(regs,"andhra_jyothi",3,png)
+    ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+    bars=separator_barriers(str(png),regs)
+    bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    n=se.crop_all_article_blocks(str(png),regs,str(out),3,dateline_starts=ds,sep_lines=bars)
+for b in sorted(bl,key=lambda d:(d["bbox"][1],d["bbox"][0])):
+    print(f"{b['kind']:>2} anchor={b['anchor_id']:>3} bbox={b['bbox']} w={b['bbox'][2]-b['bbox'][0]}")
+print(f"\n{n} crops -> {out}/page_003/")
diff --git a/scratch_py/_replay_pg4_all.py b/scratch_py/_replay_pg4_all.py
new file mode 100644
index 0000000..cd5eaff
--- /dev/null
+++ b/scratch_py/_replay_pg4_all.py
@@ -0,0 +1,19 @@
+import sys, json, shutil, contextlib, io
+sys.path.insert(0,".")
+from pathlib import Path
+import smart_extractor as se
+from _lines import separator_barriers
+base=Path("output/AndhraJyothi_Siddipet District_20260602_20260603_144919")
+D=base/"pages"; out=base/"pg4_all_current"
+if out.exists(): shutil.rmtree(out)
+png=D/"page_004.png"
+regs=json.loads((D/"page_004.regions.json").read_text())["regions"]
+with contextlib.redirect_stdout(io.StringIO()):
+    regs=se.drop_masthead_regions(regs,"andhra_jyothi",4,png)
+    ds=se.find_article_starts_by_dateline(regs,str(png),"andhra_jyothi")
+    bars=separator_barriers(str(png),regs)
+    bl=se.cluster_all_article_blocks(regs,dateline_starts=ds,sep_lines=bars)
+    n=se.crop_all_article_blocks(str(png),regs,str(out),4,dateline_starts=ds,sep_lines=bars)
+for b in sorted(bl,key=lambda d:(d["bbox"][1],d["bbox"][0])):
+    print(f"{b['kind']:>2} anchor={b['anchor_id']:>3} bbox={b['bbox']} w={b['bbox'][2]-b['bbox'][0]}")
+print(f"\n{n} crops -> {out}/page_004/")
diff --git a/scratch_py/_replay_regions.py b/scratch_py/_replay_regions.py
new file mode 100644
index 0000000..287aaf2
--- /dev/null
+++ b/scratch_py/_replay_regions.py
@@ -0,0 +1,61 @@
+"""Re-run ONLY PaddleOCR layout detection (no Claude calls) on a saved run's
+page PNG, at the default 0.5 cutoff and at a lowered threshold, and write the
+all-regions debug image for each so the effect of the threshold is visible.
+
+Usage: venv/bin/python3 _replay_regions.py <run_dir> <page_num> [threshold]
+       (threshold defaults to 0.3)
+"""
+import sys
+from collections import Counter
+from pathlib import Path
+
+from smart_extractor import detect_regions, draw_all_regions_debug
+
+
+def summarize(regions):
+    c = Counter(r.get("type", "unknown") for r in regions)
+    return ", ".join(f"{k}={v}" for k, v in sorted(c.items(), key=lambda kv: -kv[1]))
+
+
+def main(run_dir, page_num, threshold=0.3):
+    run = Path(run_dir)
+    png = run / "pages" / f"page_{page_num:03d}.png"
+    out = Path(f"/tmp/replay_regions_{run.name}_p{page_num:03d}")
+    out.mkdir(parents=True, exist_ok=True)
+
+    print(f"=== page {png}  ->  {out} ===\n")
+
+    # BASELINE: stock 0.5 cutoff
+    print("--- detection @ default (0.5) ---")
+    base = detect_regions(str(png), threshold=0.5)
+    print(f"  {len(base)} regions: {summarize(base)}")
+    draw_all_regions_debug(str(png), base, out, page_num)
+    Path(out / f"page_{page_num:03d}_allregions_debug.png").rename(
+        out / f"page_{page_num:03d}_thr050.png")
+
+    # LOWERED: threshold under test
+    print(f"\n--- detection @ {threshold} ---")
+    low = detect_regions(str(png), threshold=threshold)
+    print(f"  {len(low)} regions: {summarize(low)}")
+    draw_all_regions_debug(str(png), low, out, page_num)
+    Path(out / f"page_{page_num:03d}_allregions_debug.png").rename(
+        out / f"page_{page_num:03d}_thr{int(threshold*100):03d}.png")
+
+    # DELTA: new regions gained by lowering the cutoff
+    print(f"\n--- delta: {len(low) - len(base)} more region(s) at {threshold} ---")
+    base_boxes = {tuple(r["bbox"]) for r in base}
+    gained = [r for r in low if tuple(r["bbox"]) not in base_boxes]
+    gained.sort(key=lambda r: (r["bbox"][1], r["bbox"][0]))
+    for r in gained:
+        b = r["bbox"]
+        print(f"  + R{r['id']:>3} {r.get('type','?'):>16}  conf={r.get('confidence',0):.2f}  "
+              f"bbox={b}  ({b[2]-b[0]}x{b[3]-b[1]})")
+
+    print(f"\nImages written to: {out}")
+    for f in sorted(out.glob("*.png")):
+        print(f"  {f.name}")
+
+
+if __name__ == "__main__":
+    thr = float(sys.argv[3]) if len(sys.argv) > 3 else 0.3
+    main(sys.argv[1], int(sys.argv[2]), thr)
diff --git a/scratch_py/_search_pdf.py b/scratch_py/_search_pdf.py
new file mode 100644
index 0000000..145a5c1
--- /dev/null
+++ b/scratch_py/_search_pdf.py
@@ -0,0 +1,13 @@
+import fitz
+import sys
+from pathlib import Path
+
+# Find the PDF in the processed directory
+pdf_path = next(Path("processed").glob("Jyothi_SiddipetDistrict_17-05-2026*.pdf"))
+doc = fitz.open(str(pdf_path))
+if len(doc) >= 4:
+    page = doc[3] # 0-indexed page 4 is index 3
+    print("PAGE 4 TEXT:")
+    print(page.get_text())
+else:
+    print(f"PDF only has {len(doc)} pages")
diff --git a/scratch_py/_snap_base.json b/scratch_py/_snap_base.json
new file mode 100644
index 0000000..cd9070f
--- /dev/null
+++ b/scratch_py/_snap_base.json
@@ -0,0 +1,683 @@
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diff --git a/scratch_py/_snap_new.json b/scratch_py/_snap_new.json
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diff --git a/scratch_py/_synth_walk.py b/scratch_py/_synth_walk.py
new file mode 100644
index 0000000..d351ccd
--- /dev/null
+++ b/scratch_py/_synth_walk.py
@@ -0,0 +1,18 @@
+import sys
+sys.path.insert(0,".")
+import smart_extractor as se
+# pitch ~ 700.  Banner spans cols 1-2 (x 0..1500). Article band y 0..2000.
+R=[
+ {"id":1,"type":"doc_title","bbox":[0,0,1500,150],"confidence":0.9},      # banner (cols1-2)
+ {"id":2,"type":"text","bbox":[0,200,700,2000],"confidence":0.9},          # col1 body (has dateline)
+ {"id":3,"type":"text","bbox":[760,200,1460,2000],"confidence":0.9},       # col2 body
+ {"id":4,"type":"text","bbox":[1520,200,2220,2000],"confidence":0.9},      # col3 CONTINUATION (no dateline)
+ {"id":5,"type":"paragraph_title","bbox":[1520,200,2120,260],"confidence":0.9}, # col3 subhead
+]
+# dateline only in col1 body (region 2)
+ds=[{"region_id":2,"bbox":[0,200,700,260],"headline_region":1}]
+bl=se.cluster_all_article_blocks(R,dateline_starts=ds,sep_lines=[])
+for b in bl:
+    print(b["kind"],"anchor",b["anchor_id"],"members",sorted(b["members"]),"bbox",b["bbox"])
+assert any(b["anchor_id"]==1 and 4 in b["members"] and 5 in b["members"] for b in bl), "col3 NOT absorbed"
+print("\nPASS: col3 (regions 4,5) absorbed into banner block anchor=1")
diff --git a/scratch_py/_test_boundaries.py b/scratch_py/_test_boundaries.py
new file mode 100644
index 0000000..b0f66db
--- /dev/null
+++ b/scratch_py/_test_boundaries.py
@@ -0,0 +1,87 @@
+"""Single-page boundary test: datelines + rules -> article boxes, overlaid.
+Usage: venv/bin/python3 _test_boundaries.py <run_dir> <page_num>
+"""
+import json
+import sys
+from pathlib import Path
+
+import cv2
+from PIL import Image
+
+from _lines import detect_separator_lines
+from _boundaries import construct_boundaries
+from smart_extractor import find_article_starts_by_dateline
+
+
+def paper_of_height(h):
+    if 7040 <= h <= 7060:
+        return "sakshi"
+    if h in (6833, 6549):
+        return "andhra_jyothi"
+    if h == 6422:
+        return "namaste_telangana"
+    return "unknown"
+
+
+def iou(a, b):
+    ix = max(0, min(a[2], b[2]) - max(a[0], b[0]))
+    iy = max(0, min(a[3], b[3]) - max(a[1], b[1]))
+    inter = ix * iy
+    if inter == 0:
+        return 0.0
+    ua = (a[2] - a[0]) * (a[3] - a[1]) + (b[2] - b[0]) * (b[3] - b[1]) - inter
+    return inter / ua if ua else 0.0
+
+
+def main(run_dir, page_num):
+    run = Path(run_dir)
+    png = run / "pages" / f"page_{page_num:03d}.png"
+    regs = json.loads((run / "pages" / f"page_{page_num:03d}.regions.json").read_text())["regions"]
+    rmap = {r["id"]: r for r in regs}
+    paper = paper_of_height(Image.open(png).height)
+
+    lines = detect_separator_lines(png)
+    dls = find_article_starts_by_dateline(regs, str(png), paper)
+    boxes = construct_boundaries(regs, dls, lines, lines["size"])
+
+    print(f"\npaper={paper}  datelines={len(dls)}  boxes={len(boxes)}  "
+          f"rules H={len(lines['h'])} V={len(lines['v'])}")
+
+    # validation
+    fails = []
+    for bx in boxes:
+        db = rmap[bx["region_id"]]["bbox"]
+        bb = bx["bbox"]
+        contains = bb[0] <= db[0] and bb[1] <= db[1] and bb[2] >= db[2] and bb[3] >= db[3]
+        if not contains:
+            fails.append(f"R{bx['region_id']} box does NOT contain its dateline body")
+        if bb[2] - bb[0] < 50 or bb[3] - bb[1] < 50:
+            fails.append(f"R{bx['region_id']} degenerate box {bb}")
+    for i in range(len(boxes)):
+        for j in range(i + 1, len(boxes)):
+            ov = iou(boxes[i]["bbox"], boxes[j]["bbox"])
+            if ov > 0.25:
+                fails.append(f"R{boxes[i]['region_id']} & R{boxes[j]['region_id']} overlap iou={ov:.2f}")
+
+    for bx in sorted(boxes, key=lambda z: z["bbox"][1]):
+        print(f"  R{bx['region_id']:>3} hl=R{bx['headline_region']} {bx['dateline'][:22]!r:24} "
+              f"bbox={bx['bbox']} walls={bx['walls']['ceil_rule']}/{bx['walls']['floor_rule']}")
+    print(f"\nVALIDATION: {'PASS' if not fails else f'{len(fails)} ISSUE(S)'}")
+    for f in fails:
+        print("   ⚠", f)
+
+    img = cv2.imread(str(png))
+    for L in lines["h"]:
+        cv2.line(img, (L["x1"], L["y1"]), (L["x2"], L["y2"]), (0, 0, 255), 4)
+    for L in lines["v"]:
+        cv2.line(img, (L["x1"], L["y1"]), (L["x2"], L["y2"]), (255, 0, 0), 4)
+    for bx in boxes:
+        b = bx["bbox"]
+        cv2.rectangle(img, (b[0], b[1]), (b[2], b[3]), (0, 180, 0), 8)
+    out = Path(f"/tmp/boundaries_{run.name}_p{page_num:03d}.png")
+    cv2.imwrite(str(out), img)
+    print("overlay:", out)
+
+
+if __name__ == "__main__":
+    main(sys.argv[1], int(sys.argv[2]))
diff --git a/scratch_py/_test_boundaries50.py b/scratch_py/_test_boundaries50.py
new file mode 100644
index 0000000..8306c61
--- /dev/null
+++ b/scratch_py/_test_boundaries50.py
@@ -0,0 +1,170 @@
+"""50-run validation harness (no Claude). For every page with a regions.json in
+the last N runs: detect rules -> dateline scan -> construct article boundaries ->
+validate. Writes overlays for FAILING pages and a per-paper pass/fail report.
+
+Usage: venv/bin/python3 _test_boundaries50.py [N=50] [out_dir=/tmp/bnd50]
+"""
+import json
+import sys
+import traceback
+from collections import Counter
+from pathlib import Path
+
+import cv2
+from PIL import Image
+
+from _lines import detect_separator_lines
+from _boundaries import construct_boundaries
+from smart_extractor import find_article_starts_by_dateline
+
+OUT = Path("output")
+DL_CACHE = Path("/tmp/dl_cache")
+DL_CACHE.mkdir(parents=True, exist_ok=True)
+
+
+def cached_datelines(regs, png, paper, key):
+    """Datelines depend only on the (fixed) regions + page image, so cache the
+    Tesseract scan to disk — re-validation after a _boundaries.py edit is then
+    instant (no OCR)."""
+    cf = DL_CACHE / f"{key}.json"
+    if cf.exists():
+        return json.loads(cf.read_text())
+    dls = find_article_starts_by_dateline(regs, png, paper)
+    cf.write_text(json.dumps(dls))
+    return dls
+
+
+def paper_of_height(h):
+    if 7040 <= h <= 7060:
+        return "sakshi"
+    if h in (6833, 6549):
+        return "andhra_jyothi"
+    if h == 6422:
+        return "namaste_telangana"
+    return f"h{h}"
+
+
+def iou(a, b):
+    ix = max(0, min(a[2], b[2]) - max(a[0], b[0]))
+    iy = max(0, min(a[3], b[3]) - max(a[1], b[1]))
+    inter = ix * iy
+    if not inter:
+        return 0.0
+    ua = (a[2]-a[0])*(a[3]-a[1]) + (b[2]-b[0])*(b[3]-b[1]) - inter
+    return inter / ua if ua else 0.0
+
+
+def validate(boxes, rmap):
+    issues = []
+    for bx in boxes:
+        db = rmap[bx["region_id"]]["bbox"]
+        bb = bx["bbox"]
+        if not (bb[0] <= db[0]+2 and bb[1] <= db[1]+2 and bb[2] >= db[2]-2 and bb[3] >= db[3]-2):
+            issues.append(("no-contain", bx["region_id"]))
+        if bb[2]-bb[0] < 60 or bb[3]-bb[1] < 60:
+            issues.append(("degenerate", bx["region_id"]))
+    for i in range(len(boxes)):
+        for j in range(i+1, len(boxes)):
+            if iou(boxes[i]["bbox"], boxes[j]["bbox"]) > 0.25:
+                issues.append(("overlap", (boxes[i]["region_id"], boxes[j]["region_id"])))
+    return issues
+
+
+def draw(png, lines, boxes, out_path):
+    img = cv2.imread(str(png))
+    for L in lines["h"]:
+        cv2.line(img, (L["x1"], L["y1"]), (L["x2"], L["y2"]), (0, 0, 255), 4)
+    for L in lines["v"]:
+        cv2.line(img, (L["x1"], L["y1"]), (L["x2"], L["y2"]), (255, 0, 0), 4)
+    for bx in boxes:
+        b = bx["bbox"]
+        cv2.rectangle(img, (b[0], b[1]), (b[2], b[3]), (0, 180, 0), 8)
+    cv2.imwrite(str(out_path), img)
+
+
+def main(n=50, out_dir="/tmp/bnd50"):
+    out_dir = Path(out_dir)
+    out_dir.mkdir(parents=True, exist_ok=True)
+    runs = sorted([d for d in OUT.iterdir() if d.is_dir()],
+                  key=lambda d: d.stat().st_mtime, reverse=True)[:n]
+
+    per_paper_pages = Counter()
+    per_paper_fail = Counter()
+    issue_kinds = Counter()
+    fail_list = []
+    total_pages = 0
+    total_boxes = 0
+    total_dls = 0
+
+    for run in runs:
+        pages = run / "pages"
+        if not pages.exists():
+            continue
+        for reg_path in sorted(pages.glob("page_*.regions.json")):
+            png = reg_path.with_name(reg_path.name.replace(".regions.json", ".png"))
+            if not png.exists():
+                continue
+            try:
+                regs = json.loads(reg_path.read_text())["regions"]
+                rmap = {r["id"]: r for r in regs}
+                paper = paper_of_height(Image.open(png).height)
+                lines = detect_separator_lines(png)
+                dls = cached_datelines(regs, str(png), paper,
+                                       f"{run.name}_{reg_path.stem}")
+                if not dls:
+                    continue                      # no datelines -> nothing to bound
+                boxes = construct_boundaries(regs, dls, lines, lines["size"])
+                issues = validate(boxes, rmap)
+            except Exception:
+                issues = [("exception", reg_path.name)]
+                boxes, dls, lines = [], [], {"h": [], "v": []}
+                traceback.print_exc()
+
+            total_pages += 1
+            total_boxes += len(boxes)
+            total_dls += len(dls)
+            per_paper_pages[paper] += 1
+            if issues:
+                per_paper_fail[paper] += 1
+                for k, _ in issues:
+                    issue_kinds[k] += 1
+                tag = f"{run.name}_{reg_path.stem}"
+                fail_list.append((tag, paper, len(dls), len(boxes), issues))
+                try:
+                    draw(png, lines, boxes, out_dir / f"FAIL_{tag}.png")
+                except Exception:
+                    pass
+
+    print("\n==================== BOUNDARY VALIDATION (last %d runs) ====================" % n)
+    print(f"{'paper':<20}{'pages':>8}{'fail':>7}{'pass%':>8}")
+    for paper in sorted(per_paper_pages):
+        pg = per_paper_pages[paper]
+        fl = per_paper_fail[paper]
+        print(f"{paper:<20}{pg:>8}{fl:>7}{100*(pg-fl)/pg:>7.0f}%")
+    tot = total_pages
+    fl = sum(per_paper_fail.values())
+    print(f"{'TOTAL':<20}{tot:>8}{fl:>7}{100*(tot-fl)/max(1,tot):>7.0f}%")
+    print(f"\ndatelines total={total_dls}  boxes total={total_boxes}  "
+          f"(boxes should equal datelines: {'OK' if total_dls==total_boxes else 'MISMATCH'})")
+    print(f"issue kinds: {dict(issue_kinds)}")
+
+    if fail_list:
+        print(f"\n--- {len(fail_list)} failing page(s) (overlays in {out_dir}/FAIL_*.png) ---")
+        for tag, paper, nd, nb, issues in fail_list[:60]:
+            ic = Counter(k for k, _ in issues)
+            print(f"  [{paper}] {tag}  dls={nd} boxes={nb}  {dict(ic)}")
+    # machine-readable
+    (out_dir / "report.json").write_text(json.dumps({
+        "pages": total_pages, "fail": fl,
+        "per_paper": {p: [per_paper_pages[p], per_paper_fail[p]] for p in per_paper_pages},
+        "issue_kinds": dict(issue_kinds),
+        "fails": [[t, p, nd, nb, [list(x) if isinstance(x, tuple) else x for _, x in iss]]
+                  for t, p, nd, nb, iss in fail_list],
+    }, indent=2))
+    print(f"\nreport: {out_dir/'report.json'}")
+
+
+if __name__ == "__main__":
+    n = int(sys.argv[1]) if len(sys.argv) > 1 else 50
+    od = sys.argv[2] if len(sys.argv) > 2 else "/tmp/bnd50"
+    main(n, od)
diff --git a/scratch_py/vl_compare.py b/scratch_py/vl_compare.py
new file mode 100644
index 0000000..06bf0e7
--- /dev/null
+++ b/scratch_py/vl_compare.py
@@ -0,0 +1,294 @@
+#!/usr/bin/env python3
+"""
+vl_compare.py — Run PaddleOCR-VL on one newspaper page and compare its
+layout / reading-order output against the existing PaddleOCR LayoutDetection
+regions (page_XXX.regions.json) produced by extractor.py.
+
+Goal: see whether VL's reading-order blocks line up with article boundaries
+better than the current "box soup" before deciding to swap engines.
+
+USAGE
+    # auto-pick the most recent output/<job>/pages/page_001.png and its regions.json
+    python vl_compare.py
+
+    # or point at a specific page + regions file
+    python vl_compare.py output/20260529_004651/pages/page_001.png \
+                         output/20260529_004651/pages/page_001.regions.json
+
+OUTPUT (written next to the page image)
+    page_XXX.vl_layout.json        normalized VL blocks (id, type, bbox, reading order, text)
+    page_XXX.vl_debug.png          page with VL boxes + reading-order numbers drawn
+    page_XXX.vl_vs_paddle.json     side-by-side summary (counts by type, totals)
+    page_XXX.vl_raw.json           raw VL result (best-effort, for debugging)
+
+NOTES
+  * PaddleOCR-VL is a ~0.9B vision-language model — expect a GPU and a model
+    download on first run. It is SEPARATE from the lightweight LayoutDetection
+    used in extractor.py.
+  * The VL entry point has moved across releases. This script tries several
+    known import paths and prints a clear hint if none are found so you can
+    adapt the one line to your installed version.
+  * Run inside your project venv:  ./venv/bin/python vl_compare.py
+"""
+
+import os
+import sys
+import glob
+import json
+import traceback
+
+
+# --------------------------------------------------------------------------
+# 1. Resolve input page image + matching regions.json
+# --------------------------------------------------------------------------
+def resolve_inputs(argv):
+    if len(argv) >= 2:
+        page_png = argv[1]
+        regions_json = argv[2] if len(argv) >= 3 else os.path.splitext(page_png)[0] + ".regions.json"
+        return page_png, regions_json
+
+    # auto-discover: most recently modified page_001.png under output/
+    candidates = sorted(
+        glob.glob("output/*/pages/page_001.png"),
+        key=os.path.getmtime,
+        reverse=True,
+    )
+    if not candidates:
+        sys.exit("No page_001.png found under output/*/pages/. "
+                 "Pass a page image path explicitly:  python vl_compare.py <page.png> [regions.json]")
+    page_png = candidates[0]
+    regions_json = os.path.splitext(page_png)[0] + ".regions.json"
+    return page_png, regions_json
+
+
+# --------------------------------------------------------------------------
+# 2. Load the VL model (defensive across releases)
+# --------------------------------------------------------------------------
+def load_vl_model():
+    import paddleocr
+    print(f"paddleocr version: {getattr(paddleocr, '__version__', 'unknown')}")
+
+    # Try the documented entry points, newest-first. Adjust if your release differs.
+    attempts = [
+        ("paddleocr.PaddleOCRVL", lambda: paddleocr.PaddleOCRVL()),
+        ("paddleocr.PPDocVL",     lambda: paddleocr.PPDocVL()),
+        ("paddleocr.DocVLM",      lambda: paddleocr.DocVLM()),
+    ]
+    for name, ctor in attempts:
+        try:
+            model = ctor()
+            print(f"Loaded VL model via: {name}")
+            return model
+        except Exception as e:  # noqa: BLE001
+            print(f"  - {name} unavailable: {e}")
+
+    # Last resort: PaddleX pipeline name
+    try:
+        from paddlex import create_pipeline
+        model = create_pipeline(pipeline="PaddleOCR-VL")
+        print("Loaded VL model via: paddlex.create_pipeline('PaddleOCR-VL')")
+        return model
+    except Exception as e:  # noqa: BLE001
+        print(f"  - paddlex pipeline unavailable: {e}")
+
+    sys.exit(
+        "\nCould not load PaddleOCR-VL with any known entry point.\n"
+        "Check the exact class name for your installed version, e.g.:\n"
+        "    python -c \"import paddleocr; print([n for n in dir(paddleocr) if 'VL' in n or 'Doc' in n])\"\n"
+        "then edit the `attempts` list near the top of load_vl_model()."
+    )
+
+
+# --------------------------------------------------------------------------
+# 3. Run VL + normalize its output to the same shape as regions.json
+# --------------------------------------------------------------------------
+def to_bbox(coord):
+    """Accept [x1,y1,x2,y2] or polygon [x1,y1,...] -> [x1,y1,x2,y2] ints."""
+    if coord is None:
+        return [0, 0, 0, 0]
+    if hasattr(coord, "tolist"):
+        coord = coord.tolist()
+    coord = [float(v) for v in coord]
+    if len(coord) == 4:
+        return [int(v) for v in coord]
+    xs = coord[0::2]
+    ys = coord[1::2]
+    return [int(min(xs)), int(min(ys)), int(max(xs)), int(max(ys))]
+
+
+def run_vl(model, page_png):
+    if hasattr(model, "predict"):
+        raw = model.predict(page_png)
+    elif callable(model):
+        raw = model(page_png)
+    else:
+        raw = model.predict(input=page_png)
+
+    # raw is typically a list of result objects (dict-like). Iterate generically.
+    results = list(raw) if not isinstance(raw, list) else raw
+
+    blocks = []
+    raw_dump = []
+
+    for res in results:
+        # try to get a plain dict for dumping/parsing
+        d = None
+        for attr in ("json", "res", "_to_dict"):
+            try:
+                v = getattr(res, attr, None)
+                d = v() if callable(v) else v
+                if d:
+                    break
+            except Exception:  # noqa: BLE001
+                pass
+        if d is None and isinstance(res, dict):
+            d = res
+        raw_dump.append(_jsonable(d if d is not None else str(res)))
+
+        # VL layout blocks commonly live under one of these keys
+        layout = None
+        if isinstance(d, dict):
+            for key in ("layout_det_res", "parsing_res_list", "layout", "blocks", "boxes"):
+                if key in d and d[key]:
+                    layout = d[key]
+                    break
+        if layout is None:
+            continue
+
+        # layout may itself be a dict containing 'boxes'
+        if isinstance(layout, dict):
+            layout = layout.get("boxes", layout.get("parsing_res_list", []))
+
+        for i, b in enumerate(layout):
+            if not isinstance(b, dict):
+                continue
+            coord = b.get("coordinate", b.get("bbox", b.get("block_bbox", b.get("layout_bbox"))))
+            label = str(b.get("label", b.get("type", b.get("block_label", "unknown")))).lower()
+            score = float(b.get("score", b.get("confidence", 0)) or 0)
+            order = b.get("reading_order", b.get("order", b.get("index", i)))
+            text = b.get("text", b.get("block_content", b.get("rec_text", "")))
+            if isinstance(text, list):
+                text = " ".join(map(str, text))
+            blocks.append({
+                "id": len(blocks) + 1,
+                "type": label,
+                "bbox": to_bbox(coord),
+                "confidence": round(score, 4),
+                "reading_order": order,
+                "text_preview": (str(text)[:120] if text else ""),
+            })
+
+    # sort by reading order if available
+    try:
+        blocks.sort(key=lambda x: (x["reading_order"] if isinstance(x["reading_order"], (int, float)) else 0))
+        for i, b in enumerate(blocks, 1):
+            b["id"] = i
+    except Exception:  # noqa: BLE001
+        pass
+
+    return blocks, raw_dump
+
+
+def _jsonable(obj):
+    try:
+        json.dumps(obj)
+        return obj
+    except Exception:  # noqa: BLE001
+        return str(obj)
+
+
+# --------------------------------------------------------------------------
+# 4. Compare against existing PaddleOCR regions
+# --------------------------------------------------------------------------
+def type_counts(regions):
+    c = {}
+    for r in regions:
+        t = r.get("type", "unknown")
+        c[t] = c.get(t, 0) + 1
+    return dict(sorted(c.items(), key=lambda x: -x[1]))
+
+
+def draw_debug(page_png, blocks, out_png):
+    try:
+        from PIL import Image, ImageDraw, ImageFont
+    except Exception:  # noqa: BLE001
+        print("Pillow not available — skipping debug image.")
+        return
+    img = Image.open(page_png).convert("RGB")
+    draw = ImageDraw.Draw(img)
+    try:
+        font = ImageFont.truetype("DejaVuSans-Bold.ttf", 60)
+    except Exception:  # noqa: BLE001
+        font = ImageFont.load_default()
+    for b in blocks:
+        x1, y1, x2, y2 = b["bbox"]
+        draw.rectangle([x1, y1, x2, y2], outline=(220, 30, 30), width=6)
+        tag = f"{b['id']}:{b['type']}"
+        draw.text((x1 + 8, y1 + 8), tag, fill=(220, 30, 30), font=font)
+    img.save(out_png)
+    print(f"  wrote {out_png}")
+
+
+def main():
+    page_png, regions_json = resolve_inputs(sys.argv)
+    if not os.path.exists(page_png):
+        sys.exit(f"Page image not found: {page_png}")
+    print(f"Page image : {page_png}")
+    print(f"Regions JSON: {regions_json}  (exists={os.path.exists(regions_json)})")
+
+    stem = os.path.splitext(page_png)[0]
+
+    # existing paddle regions
+    paddle_regions = []
+    if os.path.exists(regions_json):
+        with open(regions_json) as f:
+            paddle_regions = json.load(f).get("regions", [])
+
+    # run VL
+    print("\nLoading PaddleOCR-VL (first run downloads the model)...")
+    model = load_vl_model()
+    print("Running VL on the page...")
+    blocks, raw_dump = run_vl(model, page_png)
+
+    # write outputs
+    with open(stem + ".vl_layout.json", "w") as f:
+        json.dump({"page_image": os.path.basename(page_png), "blocks": blocks}, f, indent=2, ensure_ascii=False)
+    with open(stem + ".vl_raw.json", "w") as f:
+        json.dump(raw_dump, f, indent=2, ensure_ascii=False)
+
+    summary = {
+        "page_image": os.path.basename(page_png),
+        "paddle_layoutdetection": {
+            "total_regions": len(paddle_regions),
+            "by_type": type_counts(paddle_regions),
+        },
+        "paddleocr_vl": {
+            "total_blocks": len(blocks),
+            "by_type": type_counts(blocks),
+            "has_reading_order": any(isinstance(b.get("reading_order"), (int, float)) for b in blocks),
+        },
+    }
+    with open(stem + ".vl_vs_paddle.json", "w") as f:
+        json.dump(summary, f, indent=2, ensure_ascii=False)
+
+    draw_debug(page_png, blocks, stem + ".vl_debug.png")
+
+    print("\n" + "=" * 60)
+    print("COMPARISON SUMMARY")
+    print("=" * 60)
+    print(json.dumps(summary, indent=2, ensure_ascii=False))
+    print("\nWrote:")
+    for ext in (".vl_layout.json", ".vl_raw.json", ".vl_vs_paddle.json", ".vl_debug.png"):
+        print("  " + stem + ext)
+    print("\nNext: open page_XXX_regions_debug.png (existing) next to page_XXX.vl_debug.png")
+    print("and eyeball whether VL's blocks track article boundaries better.")
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except SystemExit:
+        raise
+    except Exception:  # noqa: BLE001
+        traceback.print_exc()
+        sys.exit("\nFailed. If the error is about the VL class name, see load_vl_model().")